Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare

Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point‐of‐care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditi...

Full description

Saved in:
Bibliographic Details
Published inBioengineering & translational medicine Vol. 10; no. 4; pp. e70002 - n/a
Main Authors Wang, Kaidong, Tan, Bing, Wang, Xinfei, Qiu, Shicheng, Zhang, Qiuping, Wang, Shaolei, Yen, Ying‐Tzu, Jing, Nan, Liu, Changming, Chen, Xuxu, Liu, Shichang, Yu, Yan
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.07.2025
Wiley
Subjects
Abnormalities
Accuracy
Algorithms
Arteriosclerosis
Biomarkers
Cardiovascular disease
cardiovascular diseases (CVDs)
continuous health monitoring
Datasets
Deep learning
Diabetes
Health care
Heart attacks
Heart rate
Hypertension
Infections
Laboratories
Machine learning
Medical equipment
Medical research
Mortality
Patients
Physiology
point‐of‐care (POC) diagnostics
Review
Viral infections
cardiovascular diseases (CVDs)
continuous health monitoring
deep learning
machine learning
point‐of‐care (POC) diagnostics
Online AccessGet full text
ISSN2380-6761
2380-6761
DOI10.1002/btm2.70002

Cover

Abstract Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point‐of‐care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditional healthcare systems face challenges such as delayed diagnoses, inadequate care, and rising medical costs. The advancement of machine learning techniques has sparked considerable interest in medical research and engineering, offering ways to enhance diagnostic accuracy and relevance. Improved data interoperability and seamless connectivity could enable real‐time, continuous monitoring of cardiovascular health. Recent breakthroughs in computing power and algorithmic design, particularly deep learning frameworks that emulate neural processes, have revolutionized POC devices for CVDs, enabling more frequent detection of abnormalities and automated, expert‐level diagnosis. However, challenges such as data privacy concerns and biases in dataset representation continue to hinder clinical integration. Despite these barriers, the translational potential of machine learning‐assisted POC devices presents significant opportunities for advancement in CVDs healthcare.
AbstractList Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point‐of‐care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditional healthcare systems face challenges such as delayed diagnoses, inadequate care, and rising medical costs. The advancement of machine learning techniques has sparked considerable interest in medical research and engineering, offering ways to enhance diagnostic accuracy and relevance. Improved data interoperability and seamless connectivity could enable real‐time, continuous monitoring of cardiovascular health. Recent breakthroughs in computing power and algorithmic design, particularly deep learning frameworks that emulate neural processes, have revolutionized POC devices for CVDs, enabling more frequent detection of abnormalities and automated, expert‐level diagnosis. However, challenges such as data privacy concerns and biases in dataset representation continue to hinder clinical integration. Despite these barriers, the translational potential of machine learning‐assisted POC devices presents significant opportunities for advancement in CVDs healthcare.
Abstract Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point‐of‐care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditional healthcare systems face challenges such as delayed diagnoses, inadequate care, and rising medical costs. The advancement of machine learning techniques has sparked considerable interest in medical research and engineering, offering ways to enhance diagnostic accuracy and relevance. Improved data interoperability and seamless connectivity could enable real‐time, continuous monitoring of cardiovascular health. Recent breakthroughs in computing power and algorithmic design, particularly deep learning frameworks that emulate neural processes, have revolutionized POC devices for CVDs, enabling more frequent detection of abnormalities and automated, expert‐level diagnosis. However, challenges such as data privacy concerns and biases in dataset representation continue to hinder clinical integration. Despite these barriers, the translational potential of machine learning‐assisted POC devices presents significant opportunities for advancement in CVDs healthcare.
Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point-of-care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditional healthcare systems face challenges such as delayed diagnoses, inadequate care, and rising medical costs. The advancement of machine learning techniques has sparked considerable interest in medical research and engineering, offering ways to enhance diagnostic accuracy and relevance. Improved data interoperability and seamless connectivity could enable real-time, continuous monitoring of cardiovascular health. Recent breakthroughs in computing power and algorithmic design, particularly deep learning frameworks that emulate neural processes, have revolutionized POC devices for CVDs, enabling more frequent detection of abnormalities and automated, expert-level diagnosis. However, challenges such as data privacy concerns and biases in dataset representation continue to hinder clinical integration. Despite these barriers, the translational potential of machine learning-assisted POC devices presents significant opportunities for advancement in CVDs healthcare.Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point-of-care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditional healthcare systems face challenges such as delayed diagnoses, inadequate care, and rising medical costs. The advancement of machine learning techniques has sparked considerable interest in medical research and engineering, offering ways to enhance diagnostic accuracy and relevance. Improved data interoperability and seamless connectivity could enable real-time, continuous monitoring of cardiovascular health. Recent breakthroughs in computing power and algorithmic design, particularly deep learning frameworks that emulate neural processes, have revolutionized POC devices for CVDs, enabling more frequent detection of abnormalities and automated, expert-level diagnosis. However, challenges such as data privacy concerns and biases in dataset representation continue to hinder clinical integration. Despite these barriers, the translational potential of machine learning-assisted POC devices presents significant opportunities for advancement in CVDs healthcare.
Author Jing, Nan
Wang, Kaidong
Zhang, Qiuping
Chen, Xuxu
Liu, Changming
Qiu, Shicheng
Wang, Xinfei
Yu, Yan
Liu, Shichang
Tan, Bing
Wang, Shaolei
Yen, Ying‐Tzu
AuthorAffiliation 3 Department of Spine Surgery, The Third Hospital of Mianyang Sichuan Mental Health Center Mianyang China
1 Division of Cardiology, Department of Medicine, David Geffen School of Medicine University of California Los Angeles Los Angeles California USA
7 California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology University of California Los Angeles Los Angeles California USA
9 Department of Computer Engineering, School of Engineering and Applied Science University of Virginia Charlottesville Virginia USA
10 Honghui Hospital Xi'an Jiaotong University Xi'an China
4 Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong China
5 Postdoctoral Research Workstation Chongqing Orthopedic Hospital of Traditional Chinese Medicine Chongqing China
6 Department of Pathology and Laboratory Medicine, David Geffen School of Medicine University of California Los Angeles Los Angeles California U
AuthorAffiliation_xml – name: 8 Department of Nutrition University of California Davis Davis California USA
– name: 6 Department of Pathology and Laboratory Medicine, David Geffen School of Medicine University of California Los Angeles Los Angeles California USA
– name: 7 California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology University of California Los Angeles Los Angeles California USA
– name: 9 Department of Computer Engineering, School of Engineering and Applied Science University of Virginia Charlottesville Virginia USA
– name: 3 Department of Spine Surgery, The Third Hospital of Mianyang Sichuan Mental Health Center Mianyang China
– name: 5 Postdoctoral Research Workstation Chongqing Orthopedic Hospital of Traditional Chinese Medicine Chongqing China
– name: 1 Division of Cardiology, Department of Medicine, David Geffen School of Medicine University of California Los Angeles Los Angeles California USA
– name: 2 Department of Bioengineering, Henry Samueli School of Engineering and Applied Science University of California Los Angeles Los Angeles California USA
– name: 10 Honghui Hospital Xi'an Jiaotong University Xi'an China
– name: 4 Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong China
Author_xml – sequence: 1
  givenname: Kaidong
  orcidid: 0000-0001-5196-9346
  surname: Wang
  fullname: Wang, Kaidong
  email: kaidongwang2015@gmail.com
  organization: University of California Los Angeles
– sequence: 2
  givenname: Bing
  surname: Tan
  fullname: Tan, Bing
  organization: Sichuan Mental Health Center
– sequence: 3
  givenname: Xinfei
  surname: Wang
  fullname: Wang, Xinfei
  organization: University of California Los Angeles
– sequence: 4
  givenname: Shicheng
  surname: Qiu
  fullname: Qiu, Shicheng
  organization: The Hong Kong University of Science and Technology
– sequence: 5
  givenname: Qiuping
  surname: Zhang
  fullname: Zhang, Qiuping
  organization: Chongqing Orthopedic Hospital of Traditional Chinese Medicine
– sequence: 6
  givenname: Shaolei
  surname: Wang
  fullname: Wang, Shaolei
  organization: University of California Los Angeles
– sequence: 7
  givenname: Ying‐Tzu
  surname: Yen
  fullname: Yen, Ying‐Tzu
  organization: University of California Los Angeles
– sequence: 8
  givenname: Nan
  surname: Jing
  fullname: Jing, Nan
  organization: University of California Davis
– sequence: 9
  givenname: Changming
  surname: Liu
  fullname: Liu, Changming
  organization: University of Virginia
– sequence: 10
  givenname: Xuxu
  surname: Chen
  fullname: Chen, Xuxu
  email: firrain@126.com
  organization: Xi'an Jiaotong University
– sequence: 11
  givenname: Shichang
  surname: Liu
  fullname: Liu, Shichang
  email: lsc_2002@outlook.com
  organization: Xi'an Jiaotong University
– sequence: 12
  givenname: Yan
  surname: Yu
  fullname: Yu, Yan
  email: 732867304@qq.com
  organization: Xi'an Jiaotong University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/40708978$$D View this record in MEDLINE/PubMed
BookMark eNp9kd1qFTEQxxep2Fp74wPIgjeinJqv_boqWvwotHhT8TJMspNzUnKSY7Lbcu58BJ_RJzHbraUtUgKZYfKbPzP_PC92fPBYFC8pOaSEsPdqWLPDhuT0SbHHeEsWdVPTnTv5bnGQ0kUmaE05b8WzYleQhrRd0-4VP85Ar6zH0iFEb_3yz6_fkJJNA_blJlg_5EIw-dIQsewtLH1Ig9WpNCGWudjbcAlJjw5iuUJww2oiXxRPDbiEBzdxv_j--dP58dfF6bcvJ8cfThe6ohVb6F5xygxhvaEgGs4Z9EJXbSNUxbq-MaLGrtMttlyYpmWoKlCirUzd0JrVhu8XJ7NuH-BCbqJdQ9zKAFZeF0JcSoh5XIcSlEKhhFJEsRybjlYCNaPEdKAB66z1btYa_Qa2V-DcrSAlcnJbTm7La7czfTTTm1Gtsdfohwju3gj3X7xdyWW4lJSxVggxKby5UYjh54hpkGubNDoHHsOYJGfZj6rmgmf09QP0IozRZ2cnKh9RC5GpV3dHup3l33dn4O0M6BhSimgeX5A8gLUdYLBhWse6_7fQueXKOtw-Ii4_np-xuecvppHeZw
CitedBy_id crossref_primary_10_29328_journal_jcmei_1001034
Cites_doi 10.1109/JBHI.2020.3022989
10.1016/j.indcrop.2023.117532
10.1038/s41580-021-00407-0
10.1002/adma.202104178
10.1016/j.jbi.2012.02.007
10.1039/D2LC00872F
10.1038/s41569-020-00445-9
10.1016/j.artmed.2011.05.001
10.1109/ACCESS.2019.2917532
10.1038/nbt.1641
10.1038/s41583-020-00395-8
10.1007/s12274-023-5725-8
10.1016/S1470-2045(19)30149-4
10.1016/j.biotechadv.2016.02.008
10.21105/joss.02607
10.1016/j.jclepro.2020.120664
10.1161/CIRCEP.119.007952
10.1038/s41569-021-00589-2
10.1155/2019/4180949
10.1038/s41746-022-00592-y
10.1038/s41586-021-04223-6
10.1038/s41591-023-02396-3
10.1126/sciadv.1601185
10.1016/j.compscitech.2021.108780
10.1016/j.compbiomed.2020.103801
10.1126/sciadv.abo1874
10.1016/j.coco.2023.101750
10.1016/j.scitotenv.2017.10.191
10.1161/CIRCRESAHA.122.321877
10.1056/NEJMra035098
10.1038/s41569-020-00503-2
10.1002/btm2.10694
10.1007/s44258-023-00001-3
10.1021/acsnano.2c10371
10.1016/j.ins.2020.03.094
10.1016/j.snb.2020.129336
10.1002/widm.1379
10.1016/S0959-4388(02)00304-5
10.1002/btm2.10476
10.1109/ACCESS.2020.2988796
10.1016/j.nanoen.2023.108524
10.1016/j.bios.2021.113074
10.1002/advs.202206982
10.1016/j.compositesa.2024.108410
10.1007/s11886-022-01680-x
10.1002/btm2.10176
10.1016/j.engappai.2022.104743
10.1016/j.trac.2022.116806
10.1038/s42256-020-0146-9
10.1016/j.cosrev.2020.100285
10.1038/nrmicro2521
10.1016/j.ceh.2020.11.002
10.1007/s12598-024-02821-7
10.1148/radiol.2020192224
10.1016/j.inffus.2017.02.003
10.1016/j.infsof.2020.106287
10.1016/j.aca.2022.340447
10.1016/j.compscitech.2022.109415
10.1007/s12551-018-0449-9
10.1038/s41746-022-00712-8
10.1126/sciadv.adq6778
10.3389/fmats.2023.1146045
10.1016/j.bios.2020.112621
10.1007/s12598-023-02298-w
10.1080/07853890.2020.1868564
10.1016/j.athoracsur.2019.09.042
10.1016/j.bios.2018.02.010
10.1038/nature14539
10.1049/ip-sen:20030207
10.1109/TNN.2011.2162429
10.1016/j.bios.2019.111869
10.1038/nrmicro841
10.1038/s41598-021-84698-5
10.1038/s41586-018-0337-2
10.1002/btm2.10420
10.1002/btm2.10643
10.1109/HPEC.2019.8916327
10.1016/j.compbiomed.2020.103726
10.1002/adfm.201906713
10.1007/s10994-019-05855-6
10.1002/adhm.202100116
10.1016/j.electacta.2018.07.228
10.1021/acsanm.8b01501
10.1002/inf2.12419
10.1038/s41586-022-05060-x
10.1038/s42256-020-0186-1
10.1038/s42256-019-0019-2
10.1002/btm2.10177
10.3389/fchem.2014.00063
10.1016/j.bios.2016.10.046
10.1002/admt.202201703
10.1126/science.aaa8415
10.1037/a0018695
10.1002/advs.202400596
10.1021/acs.chemrev.1c00502
10.1002/btm2.10553
10.1177/1179546820927404
10.1007/s11042-019-7327-8
10.1038/s41591-022-01709-2
10.1002/aelm.202200782
10.1145/3477600
10.1038/523416a
10.1038/s41586-022-04760-8
10.1109/ACCESS.2014.2325029
10.1002/VIW.20230087
10.1016/j.trac.2022.116904
10.1016/j.indcrop.2023.117757
10.1002/VIW.20220025
10.1161/hy0302.104670
10.1021/acssuschemeng.9b04813
10.1038/s44161-022-00028-6
10.1002/btm2.10616
10.1021/acsami.3c06308
10.1088/1757‐899X/1022/1/012072
10.1002/btm2.10481
10.1109/CVPR.2016.90
10.1016/j.bios.2022.114050
10.1038/s41591-018-0316-z
10.1038/s41586-021-04043-8
10.1016/j.porgcoat.2023.107912
10.1021/acssensors.0c01424
10.1007/s00216-023-04514-z
10.1002/smtd.202200830
10.1002/adfm.202214265
10.1016/j.matt.2022.03.014
10.3390/su12062403
10.1073/pnas.2300953120
10.1016/j.ins.2020.06.025
10.1088/0967-3334/29/7/004
10.1002/ehf2.13144
10.1038/s41551-020-0557-2
10.1016/j.cej.2024.153101
10.1038/s41591-022-01981-2
10.1007/s11432-018-9801-4
10.1007/s13042-024-02246-9
10.1186/s12933-018-0703-2
10.1039/C5TX00294J
10.1021/acssensors.4c01594
10.1002/cpe.6276
10.1039/D3SD00170A
10.1007/s42114-024-00906-6
10.1109/ACCESS.2019.2925847
10.1002/smll.202300386
10.1016/j.matt.2023.06.008
10.1002/btm2.10529
10.1016/j.trac.2023.116981
10.1126/sciadv.adj0540
10.1021/acs.analchem.6b02028
10.1016/j.ins.2019.10.069
10.1016/j.phrs.2016.09.040
ContentType Journal Article
Copyright 2025 The Author(s). published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.
2025 The Author(s). Bioengineering & Translational Medicine published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.
2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2025 The Author(s). published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.
– notice: 2025 The Author(s). Bioengineering & Translational Medicine published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.
– notice: 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID 24P
AAYXX
CITATION
NPM
8FE
8FG
ABJCF
ABUWG
AFKRA
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
HCIFZ
L6V
M7S
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PTHSS
7X8
5PM
ADTOC
UNPAY
DOA
DOI 10.1002/btm2.70002
DatabaseName Wiley Online Library Open Access
CrossRef
PubMed
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Materials Science & Engineering
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
Technology Collection
ProQuest One Community College
ProQuest Central
SciTech Premium Collection
ProQuest Engineering Collection
Engineering Database
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database (Proquest)
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
Engineering Collection
MEDLINE - Academic
PubMed Central (Full Participant titles)
Unpaywall for CDI: Periodical Content
Unpaywall
Directory of Open Access Journals (DOAJ)
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
Engineering Database
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Engineering Collection
ProQuest One Academic UKI Edition
ProQuest Central Korea
Materials Science & Engineering Collection
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
Engineering Collection
MEDLINE - Academic
DatabaseTitleList Publicly Available Content Database
CrossRef



MEDLINE - Academic
PubMed
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: 24P
  name: Wiley Online Library Open Access
  url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html
  sourceTypes: Publisher
– sequence: 3
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 4
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 5
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitleAlternate Wang et al
EISSN 2380-6761
EndPage n/a
ExternalDocumentID oai_doaj_org_article_abbe4b4bb0b24b479154ec210f9acae6
10.1002/btm2.70002
PMC12284442
40708978
10_1002_btm2_70002
BTM270002
Genre reviewArticle
Journal Article
Review
GrantInformation_xml – fundername: Mianyang Science and Technology Bureau
  funderid: 2023ZYDF081
– fundername: Chongqing Science and Health Joint Chinese Medicine Technology Innovation and Application Development Project
  funderid: 2021ZY014325
– fundername: ;
  grantid: 2023ZYDF081
– fundername: ;
  grantid: 2021ZY014325
GroupedDBID 0R~
1OC
24P
53G
5VS
8FE
8FG
AAMMB
AAZKR
ABDBF
ABJCF
ACCMX
ACGFS
ACUHS
ACXQS
ADBBV
ADKYN
ADZMN
AEFGJ
AFKRA
AGXDD
AIDQK
AIDYY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AOIJS
AVUZU
BAWUL
BCNDV
BENPR
BGLVJ
CCPQU
DIK
EBS
EJD
ESX
GROUPED_DOAJ
HCIFZ
HYE
IAO
IHR
INH
ITC
KQ8
L6V
M7S
M~E
OK1
PHGZM
PHGZT
PIMPY
PQGLB
PROAC
PTHSS
RPM
TUS
AAYXX
CITATION
WIN
NPM
ABUWG
AZQEC
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
7X8
PUEGO
5PM
ADTOC
UNPAY
ID FETCH-LOGICAL-c5152-cdb312f02df1a47332ad4c5874b529d7f46e99c8e834f782eb5ab485f671626f3
IEDL.DBID BENPR
ISSN 2380-6761
IngestDate Fri Oct 03 12:42:54 EDT 2025
Sun Oct 26 04:08:46 EDT 2025
Tue Sep 30 17:02:31 EDT 2025
Fri Sep 05 15:34:59 EDT 2025
Sat Aug 23 14:12:05 EDT 2025
Wed Jul 30 01:38:39 EDT 2025
Thu Apr 24 23:02:06 EDT 2025
Thu Oct 16 04:34:43 EDT 2025
Wed Jul 23 09:40:18 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords cardiovascular diseases (CVDs)
continuous health monitoring
deep learning
machine learning
point‐of‐care (POC) diagnostics
Language English
License Attribution
2025 The Author(s). Bioengineering & Translational Medicine published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
cc-by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c5152-cdb312f02df1a47332ad4c5874b529d7f46e99c8e834f782eb5ab485f671626f3
Notes Kaidong Wang and Bing Tan contributed equally to this study.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ORCID 0000-0001-5196-9346
OpenAccessLink https://www.proquest.com/docview/3232324644?pq-origsite=%requestingapplication%&accountid=15518
PMID 40708978
PQID 3232324644
PQPubID 4368370
PageCount 18
ParticipantIDs doaj_primary_oai_doaj_org_article_abbe4b4bb0b24b479154ec210f9acae6
unpaywall_primary_10_1002_btm2_70002
pubmedcentral_primary_oai_pubmedcentral_nih_gov_12284442
proquest_miscellaneous_3233256343
proquest_journals_3232324644
pubmed_primary_40708978
crossref_primary_10_1002_btm2_70002
crossref_citationtrail_10_1002_btm2_70002
wiley_primary_10_1002_btm2_70002_BTM270002
PublicationCentury 2000
PublicationDate July 2025
PublicationDateYYYYMMDD 2025-07-01
PublicationDate_xml – month: 07
  year: 2025
  text: July 2025
PublicationDecade 2020
PublicationPlace Hoboken, USA
PublicationPlace_xml – name: Hoboken, USA
– name: United States
– name: Hoboken
PublicationTitle Bioengineering & translational medicine
PublicationTitleAlternate Bioeng Transl Med
PublicationYear 2025
Publisher John Wiley & Sons, Inc
Wiley
Publisher_xml – name: John Wiley & Sons, Inc
– name: Wiley
References 2018; 285
2021; 208
2019; 2019
2023; 185
2019; 11
2002; 12
2017; 89
2011; 53
2022; 23
2003; 150
2022; 24
2024; 186
2020; 14
2020; 13
2020; 12
2004; 2
2020; 10
2022; 22
2022; 28
2016; 34
2022; 1232
2020; 295
2019; 20
2024; 5
2018; 1
2019; 22
2010; 117
2024; 7
2010; 28
2008; 29
2024; 9
2019; 25
2018; 616
2022; 608
2022; 606
2022; 601
2018; 31
2022; 203
2021; 2021
2019; 7
2022; 110
2023; 160
2015; 523
2015; 521
2019; 1
2018; 107
2023; 205
2020; 38
2024; 10
2024; 11
2020; 33
2024; 15
2011; 9
2023; 42
2016; 5
2021; 1022
2018; 17
2003; 349
2021; 53
2016; 2
2023; 44
2021; 55
2022; 3
2020; 30
2022; 5
2022; 6
2022; 8
2020; 150
2023; 159
2024; 494
2020; 25
2022; 1
2012; 45
2022; 223
2022; 19
2023; 35
2023; 33
2021; 22
2023; 5
2020; 120
2023; 6
2023; 8
2023; 9
2008; 9
2020; 122
2023; 1
2021; 122
2023; 2
2015; 349
2020; 8
2020; 5
2020; 4
2019; 62
2020; 2
2014; 2
2021; 33
2017; 37
2023; 29
2021; 599
2023; 132
2020; 9
2016; 113
2011; 22
2020; 257
2020; 531
2023; 415
2020; 538
2016; 88
2002; 39
2021; 8
2023; 10
2021; 6
2021; 4
2021; 2
2023; 17
2023; 120
2023; 15
2024; 207
2019; 78
2023; 19
2006
2005
2020; 109
2022; 157
2021; 10
2021; 11
2021; 179
2018; 559
2021
2021; 18
2023; 113
2021; 171
2019
2020; 513
2017
2016
2024; 43
2021; 330
e_1_2_11_70_1
e_1_2_11_93_1
e_1_2_11_32_1
e_1_2_11_55_1
e_1_2_11_78_1
e_1_2_11_36_1
e_1_2_11_51_1
e_1_2_11_74_1
e_1_2_11_97_1
e_1_2_11_13_1
e_1_2_11_118_1
e_1_2_11_29_1
e_1_2_11_125_1
e_1_2_11_4_1
e_1_2_11_106_1
e_1_2_11_148_1
e_1_2_11_48_1
e_1_2_11_121_1
e_1_2_11_167_1
Rothman D (e_1_2_11_87_1) 2021
e_1_2_11_102_1
e_1_2_11_144_1
e_1_2_11_163_1
e_1_2_11_140_1
Jaiswal A (e_1_2_11_31_1) 2020; 9
e_1_2_11_81_1
Zhao Q (e_1_2_11_122_1) 2005
Han T (e_1_2_11_109_1) 2020; 33
e_1_2_11_20_1
e_1_2_11_66_1
e_1_2_11_47_1
Chechik G (e_1_2_11_62_1) 2008; 9
e_1_2_11_24_1
e_1_2_11_129_1
Gaziano T (e_1_2_11_5_1) 2006
e_1_2_11_8_1
e_1_2_11_43_1
e_1_2_11_85_1
e_1_2_11_17_1
e_1_2_11_117_1
e_1_2_11_136_1
e_1_2_11_159_1
e_1_2_11_59_1
e_1_2_11_113_1
e_1_2_11_132_1
e_1_2_11_155_1
e_1_2_11_151_1
e_1_2_11_50_1
e_1_2_11_92_1
Berry MW (e_1_2_11_89_1) 2019
e_1_2_11_77_1
e_1_2_11_58_1
e_1_2_11_119_1
e_1_2_11_35_1
e_1_2_11_73_1
e_1_2_11_12_1
e_1_2_11_54_1
e_1_2_11_96_1
e_1_2_11_103_1
e_1_2_11_126_1
e_1_2_11_149_1
e_1_2_11_28_1
e_1_2_11_145_1
e_1_2_11_141_1
e_1_2_11_164_1
e_1_2_11_160_1
e_1_2_11_61_1
e_1_2_11_80_1
e_1_2_11_46_1
Bai W (e_1_2_11_69_1) 2019; 22
e_1_2_11_88_1
e_1_2_11_9_1
e_1_2_11_23_1
e_1_2_11_42_1
e_1_2_11_65_1
e_1_2_11_114_1
e_1_2_11_16_1
Hasan BMS (e_1_2_11_91_1) 2021; 2
e_1_2_11_137_1
e_1_2_11_156_1
e_1_2_11_110_1
e_1_2_11_39_1
e_1_2_11_133_1
e_1_2_11_152_1
e_1_2_11_72_1
Khan AH (e_1_2_11_143_1) 2021; 2021
e_1_2_11_30_1
e_1_2_11_57_1
e_1_2_11_99_1
e_1_2_11_34_1
e_1_2_11_53_1
e_1_2_11_76_1
e_1_2_11_95_1
e_1_2_11_11_1
e_1_2_11_6_1
e_1_2_11_27_1
e_1_2_11_127_1
e_1_2_11_2_1
e_1_2_11_100_1
e_1_2_11_146_1
e_1_2_11_123_1
e_1_2_11_165_1
e_1_2_11_142_1
e_1_2_11_161_1
e_1_2_11_60_1
e_1_2_11_45_1
Zou Y (e_1_2_11_107_1) 2019
e_1_2_11_41_1
e_1_2_11_108_1
e_1_2_11_22_1
e_1_2_11_64_1
Faes L (e_1_2_11_68_1) 2019; 1
Alami Mejjati Y (e_1_2_11_83_1) 2018; 31
e_1_2_11_115_1
e_1_2_11_138_1
e_1_2_11_15_1
e_1_2_11_111_1
e_1_2_11_134_1
e_1_2_11_38_1
e_1_2_11_157_1
e_1_2_11_19_1
e_1_2_11_153_1
e_1_2_11_130_1
e_1_2_11_94_1
e_1_2_11_71_1
e_1_2_11_90_1
e_1_2_11_10_1
e_1_2_11_56_1
e_1_2_11_79_1
e_1_2_11_14_1
e_1_2_11_52_1
e_1_2_11_98_1
e_1_2_11_33_1
e_1_2_11_75_1
e_1_2_11_7_1
e_1_2_11_105_1
e_1_2_11_128_1
e_1_2_11_147_1
e_1_2_11_26_1
e_1_2_11_3_1
e_1_2_11_49_1
e_1_2_11_101_1
e_1_2_11_124_1
e_1_2_11_166_1
e_1_2_11_120_1
e_1_2_11_162_1
e_1_2_11_82_1
e_1_2_11_21_1
e_1_2_11_44_1
e_1_2_11_67_1
e_1_2_11_25_1
e_1_2_11_40_1
e_1_2_11_63_1
e_1_2_11_86_1
e_1_2_11_18_1
e_1_2_11_139_1
Chen T (e_1_2_11_104_1) 2020; 33
e_1_2_11_116_1
e_1_2_11_158_1
e_1_2_11_37_1
Pedersoli M (e_1_2_11_84_1) 2017
e_1_2_11_135_1
e_1_2_11_154_1
e_1_2_11_112_1
e_1_2_11_131_1
e_1_2_11_150_1
References_xml – volume: 122
  start-page: 3259
  issue: 3
  year: 2021
  end-page: 3291
  article-title: Electronic textiles for wearable point‐of‐care systems
  publication-title: Chem Rev
– volume: 2
  start-page: 1437
  year: 2023
  end-page: 1459
  article-title: Integrated microfluidic devices for point‐of‐care detection of bio‐analytes and disease
  publication-title: Sens Diagn
– volume: 257
  year: 2020
  article-title: Influence of mining activities on groundwater hydrochemistry and heavy metal migration using a self‐organizing map (SOM)
  publication-title: J Clean Prod
– volume: 159
  year: 2023
  article-title: Early‐diagnosis of major depressive disorder: from biomarkers to point‐of‐care testing
  publication-title: Trends Anal Chem
– volume: 521
  start-page: 436
  issue: 7553
  year: 2015
  end-page: 444
  article-title: Deep learning
  publication-title: Nature
– volume: 2
  start-page: 94
  issue: 2
  year: 2020
  end-page: 103
  article-title: Machine learning for active matter
  publication-title: Nat Mach Intell
– volume: 78
  start-page: 19905
  year: 2019
  end-page: 19916
  article-title: A healthcare monitoring system using random forest and internet of things (IoT)
  publication-title: Multimed Tools Appl
– volume: 8
  issue: 5
  year: 2023
  article-title: Deep learning in precision medicine and focus on glioma
  publication-title: Bioeng Transl Med
– volume: 10
  issue: 5
  year: 2020
  article-title: Interpretability of machine learning‐based prediction models in healthcare
  publication-title: Wiley Interdiscip Rev Data Min Knowl Discov
– volume: 1
  start-page: 263
  issue: 3
  year: 2022
  end-page: 280
  article-title: Single‐cell transcriptomics reveals cell‐type‐specific diversification in human heart failure
  publication-title: Nat Cardiovasc Res
– volume: 19
  issue: 21
  year: 2023
  article-title: Ultrastretchable MXene Microsupercapacitors
  publication-title: Small
– volume: 17
  start-page: 1
  year: 2018
  end-page: 10
  article-title: Diabetes, cardiovascular disease and the microcirculation
  publication-title: Cardiovasc Diabetol
– start-page: 5982
  year: 2019
  end-page: 5991
– volume: 7
  issue: 3
  year: 2024
  article-title: Wearable biosensors for cardiovascular monitoring leveraging nanomaterials
  publication-title: Adv Compos Hybrid Mater
– volume: 3
  issue: 5
  year: 2022
  article-title: Crack engineering boosts the performance of flexible sensors
  publication-title: View
– volume: 5
  start-page: 570
  issue: 2
  year: 2016
  end-page: 582
  article-title: In silico prediction of hERG potassium channel blockage by chemical category approaches
  publication-title: Toxicol Res
– volume: 17
  start-page: 445
  year: 2023
  end-page: 461
  article-title: Bioinspired nanomaterials for wearable sensing and human‐machine interfacing
  publication-title: Nano Res
– volume: 349
  start-page: 255
  issue: 6245
  year: 2015
  end-page: 260
  article-title: Machine learning: trends, perspectives, and prospects
  publication-title: Science
– volume: 29
  start-page: 747
  issue: 7
  year: 2008
  end-page: 760
  article-title: Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifier
  publication-title: Physiol Meas
– volume: 22
  start-page: 4933
  issue: 24
  year: 2022
  end-page: 4940
  article-title: A facile and scalable patterning approach for ultrastretchable liquid metal features
  publication-title: Lab Chip
– volume: 523
  start-page: 416
  issue: 7561
  year: 2015
  end-page: 417
  article-title: Machine learning for 3D microscopy
  publication-title: Nature
– volume: 15
  start-page: 5415
  year: 2024
  end-page: 5425
  article-title: Semi‐supervised filter feature selection based on natural Laplacian score and maximal information coefficient
  publication-title: Int J Mach Learn Cybern
– volume: 513
  start-page: 386
  year: 2020
  end-page: 396
  article-title: A hybrid deep learning model for efficient intrusion detection in big data environment
  publication-title: Inform Sci
– volume: 1
  start-page: 5843
  issue: 10
  year: 2018
  end-page: 5853
  article-title: MOF‐derived CoPx nanoparticles embedded in nitrogen‐doped porous carbon polyhedrons for nanomolar sensing of p‐nitrophenol
  publication-title: ACS Appl Nano Mater
– volume: 33
  start-page: 5679
  year: 2020
  end-page: 5690
  article-title: Self‐supervised co‐training for video representation learning
  publication-title: Adv Neural Inf Process Syst
– volume: 109
  start-page: 373
  issue: 2
  year: 2020
  end-page: 440
  article-title: A survey on semi‐supervised learning
  publication-title: Mach Learn
– volume: 349
  start-page: 60
  issue: 1
  year: 2003
  end-page: 72
  article-title: Cardiovascular disease
  publication-title: N Engl J Med
– volume: 9
  start-page: 1
  issue: 1
  year: 2008
  end-page: 21
  article-title: Max‐margin classification of data with absent features
  publication-title: J Mach Learn Res
– volume: 531
  start-page: 13
  year: 2020
  end-page: 30
  article-title: A robust graph‐based semi‐supervised sparse feature selection method
  publication-title: Inform Sci
– volume: 5
  issue: 1
  year: 2022
  article-title: Multimodal machine learning in precision health: a scoping review
  publication-title: npj Digit Med
– start-page: 1242
  year: 2017
  end-page: 1250
– volume: 4
  start-page: 1
  year: 2021
  end-page: 11
  article-title: An anatomization on breast cancer detection and diagnosis employing multi‐layer perceptron neural network (MLP) and convolutional neural network (CNN)
  publication-title: Clin eHealth
– volume: 11
  start-page: 111
  year: 2019
  end-page: 118
  article-title: Machine learning: applications of artificial intelligence to imaging and diagnosis
  publication-title: Biophys Rev
– volume: 285
  start-page: 128
  year: 2018
  end-page: 138
  article-title: In‐situ insertion of carbon nanotubes into metal‐organic frameworks‐derived α‐Fe O polyhedrons for highly sensitive electrochemical detection of nitrite
  publication-title: Electrochim Acta
– volume: 9
  issue: 4
  year: 2024
  article-title: Differential sensitivity to hypoxia enables shape‐based classification of sickle cell disease and trait blood samples at point of care
  publication-title: Bioeng Transl Med
– volume: 28
  start-page: 595
  issue: 6
  year: 2010
  end-page: 599
  article-title: Single‐molecule enzyme‐linked immunosorbent assay detects serum proteins at subfemtomolar concentrations
  publication-title: Nat Biotechnol
– volume: 2019
  year: 2019
  article-title: An efficient deep learning approach to pneumonia classification in healthcare
  publication-title: J Healthc Eng
– volume: 44
  year: 2023
  article-title: Fine‐tunable ε'‐negative response derived from low‐frequency plasma oscillation in graphene/polyaniline metacomposites
  publication-title: Compos Commun
– volume: 117
  start-page: 349
  issue: 2
  year: 2010
  end-page: 381
  article-title: Error‐driven learning in visual categorization and object recognition: a common‐elements model
  publication-title: Psychol Rev
– year: 2019
– volume: 18
  start-page: 75
  issue: 2
  year: 2021
  end-page: 91
  article-title: Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management
  publication-title: Nat Rev Cardiol
– volume: 25
  start-page: 1519
  issue: 5
  year: 2020
  end-page: 1528
  article-title: Deep learning for ECG analysis: benchmarks and insights from PTB‐XL
  publication-title: IEEE J Biomed Health Inform
– volume: 1232
  year: 2022
  article-title: A machine learning‐based multimodal electrochemical analytical device based on eMoSx‐LIG for multiplexed detection of tyrosine and uric acid in sweat and saliva
  publication-title: Anal Chim Acta
– volume: 203
  year: 2022
  article-title: Multiplexed immunosensors for point‐of‐care diagnostic applications
  publication-title: Biosens Bioelectron
– volume: 8
  issue: 2
  year: 2023
  article-title: Microsampling tools for collecting, processing, and storing blood at the point‐of‐care
  publication-title: Bioeng Transl Med
– volume: 179
  year: 2021
  article-title: Internet of medical things (IoMT)‐integrated biosensors for point‐of‐care testing of infectious diseases
  publication-title: Biosens Bioelectron
– volume: 1
  start-page: 1
  issue: 1
  year: 2023
  end-page: 22
  article-title: Smart textiles for self‐powered biomonitoring
  publication-title: Med‐X
– volume: 415
  start-page: 3683
  issue: 18
  year: 2023
  end-page: 3692
  article-title: Machine learning toward high‐performance electrochemical sensors
  publication-title: Anal Bioanal Chem
– volume: 20
  start-page: e262
  issue: 5
  year: 2019
  end-page: e273
  article-title: Big data and machine learning algorithms for health‐care delivery
  publication-title: Lancet Oncol
– volume: 6
  start-page: 2235
  issue: 7
  year: 2023
  end-page: 2247
  article-title: A textile magnetoelastic patch for self‐powered personalized muscle physiotherapy
  publication-title: Matter
– volume: 1
  issue: 5
  year: 2019
  article-title: Automated deep learning design for medical image classification by health‐care professionals with no coding experience: a feasibility study
  publication-title: Lancet Digit Health
– volume: 12
  issue: 6
  year: 2020
  article-title: Development of smart healthcare system based on speech recognition using support vector machine and dynamic time warping
  publication-title: Sustainability
– volume: 132
  start-page: 1405
  issue: 10
  year: 2023
  end-page: 1424
  article-title: Microfluidic organ‐chips and stem cell models in the fight against COVID‐19
  publication-title: Circ Res
– volume: 120
  year: 2020
  article-title: Application of deep learning techniques for heartbeats detection using ECG signals‐analysis and review
  publication-title: Comput Biol Med
– volume: 33
  start-page: 22243
  year: 2020
  end-page: 22255
  article-title: Big self‐supervised models are strong semi‐supervised learners
  publication-title: Adv Neural Inf Process Syst
– volume: 13
  issue: 8
  year: 2020
  article-title: Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology
  publication-title: Circ Arrhythm Electrophysiol
– volume: 17
  start-page: 3610
  issue: 4
  year: 2023
  end-page: 3619
  article-title: Dual‐enhanced plasmonic biosensing for point‐of‐care sepsis detection
  publication-title: ACS Nano
– volume: 33
  issue: 41
  year: 2021
  article-title: Ambulatory cardiovascular monitoring via a machine‐learning‐assisted textile triboelectric sensor
  publication-title: Adv Mater
– volume: 122
  year: 2020
  article-title: A systematic review of unsupervised learning techniques for software defect prediction
  publication-title: Inf Softw Technol
– volume: 34
  start-page: 305
  issue: 3
  year: 2016
  end-page: 320
  article-title: Portable microfluidic and smartphone‐based devices for monitoring of cardiovascular diseases at the point of care
  publication-title: Biotechnol Adv
– volume: 601
  start-page: 549
  issue: 7894
  year: 2022
  end-page: 555
  article-title: Deep physical neural networks trained with backpropagation
  publication-title: Nature
– volume: 15
  start-page: 28675
  issue: 23
  year: 2023
  end-page: 28683
  article-title: Maskless fabrication of highly conductive and ultrastretchable liquid metal features through selective laser activation
  publication-title: ACS Appl Mater Interfaces
– volume: 157
  year: 2022
  article-title: Microfluidic platforms integrated with nano‐sensors for point‐of‐care bioanalysis
  publication-title: Trends Anal Chem
– volume: 8
  issue: 30
  year: 2022
  article-title: Ultrasensitive point‐of‐care biochemical sensor based on metal‐AIEgen frameworks
  publication-title: Sci Adv
– volume: 5
  issue: 53
  year: 2020
  article-title: Foolbox native: fast adversarial attacks to benchmark the robustness of machine learning models in pytorch, tensorflow, and jax
  publication-title: J Open Source Softw
– volume: 2
  year: 2014
  article-title: Nanomaterials for biosensing applications: a review
  publication-title: Front Chem
– volume: 9
  issue: 1
  year: 2020
  article-title: A survey on contrastive self‐supervised learning
  publication-title: Dent Tech
– volume: 608
  start-page: 766
  issue: 7924
  year: 2022
  end-page: 777
  article-title: Spatial multi‐omic map of human myocardial infarction
  publication-title: Nature
– volume: 599
  start-page: 91
  issue: 7883
  year: 2021
  end-page: 95
  article-title: Disease variant prediction with deep generative models of evolutionary data
  publication-title: Nature
– volume: 120
  issue: 23
  year: 2023
  article-title: Ultrasensitive and ultrastretchable electrically self‐healing conductors
  publication-title: Proc Natl Acad Sci U. S. A.
– volume: 538
  start-page: 486
  year: 2020
  end-page: 502
  article-title: An accurate and dynamic predictive model for a smart M‐Health system using machine learning
  publication-title: Inform Sci
– volume: 330
  year: 2021
  article-title: Electrochemical paper‐based analytical device for multiplexed, point‐of‐care detection of cardiovascular disease biomarkers
  publication-title: Sens Actuators B
– volume: 37
  start-page: 98
  year: 2017
  end-page: 125
  article-title: A review of affective computing: from unimodal analysis to multimodal fusion
  publication-title: Inf Fusion
– volume: 33
  issue: 18
  year: 2023
  article-title: Advances in wearable strain sensors based on electrospun fibers
  publication-title: Adv Funct Mater
– volume: 22
  start-page: 55
  issue: 1
  year: 2021
  end-page: 67
  article-title: If deep learning is the answer, what is the question?
  publication-title: Nat Rev Neurosci
– volume: 9
  start-page: 5354
  issue: 10
  year: 2024
  end-page: 5362
  article-title: Aptamer‐based electrochemical biosensing platform for analysis of cardiac biomarkers
  publication-title: ACS Sens
– volume: 42
  start-page: 1773
  issue: 6
  year: 2023
  end-page: 1777
  article-title: Rise of flexible high‐temperature electronics
  publication-title: Rare Met
– volume: 10
  issue: 17
  year: 2021
  article-title: Flexible wearable sensors for cardiovascular health monitoring
  publication-title: Adv Healthc Mater
– volume: 9
  issue: 1
  year: 2024
  article-title: Machine learning‐directed electrical impedance tomography to predict metabolically vulnerable plaques
  publication-title: Bioeng Transl Med
– volume: 30
  issue: 29
  year: 2020
  article-title: The era of digital health: a review of portable and wearable affinity biosensors
  publication-title: Adv Funct Mater
– volume: 10
  year: 2023
  article-title: Emerging nanomaterials to enhance electrochemical impedance spectroscopy for biomedical applications
  publication-title: Front Mater
– volume: 295
  start-page: 4
  issue: 1
  year: 2020
  end-page: 15
  article-title: Preparing medical imaging data for machine learning
  publication-title: Radiology
– volume: 171
  year: 2021
  article-title: A review of biosensor technologies for blood biomarkers toward monitoring cardiovascular diseases at the point‐of‐care
  publication-title: Biosens Bioelectron
– volume: 55
  start-page: 1
  issue: 1
  year: 2021
  end-page: 36
  article-title: Reinforcement learning in healthcare: a survey
  publication-title: ACM Comput Surv
– volume: 109
  start-page: 1323
  issue: 5
  year: 2020
  end-page: 1329
  article-title: Artificial intelligence and machine learning in cardiovascular health care
  publication-title: Ann Thorac Surg
– volume: 11
  issue: 31
  year: 2024
  article-title: Non‐invasive detection of early‐stage fatty liver disease via an on‐skin impedance sensor and attention‐based deep learning
  publication-title: Adv Sci
– volume: 122
  year: 2020
  article-title: Opportunities and challenges of deep learning methods for electrocardiogram data: a systematic review
  publication-title: Comput Biol Med
– volume: 5
  issue: 1
  year: 2022
  article-title: Machine learning for medical imaging: methodological failures and recommendations for the future
  publication-title: npj Digit Med
– volume: 31
  start-page: 3697
  year: 2018
  end-page: 3707
  article-title: Unsupervised attention‐guided image‐to‐image translation
  publication-title: Adv Neural Inf Process Syst
– start-page: 770
  year: 2016
  end-page: 778
– volume: 12
  start-page: 162
  issue: 2
  year: 2002
  end-page: 168
  article-title: Neural mechanisms of object recognition
  publication-title: Curr Opin Neurobiol
– volume: 616
  start-page: 1270
  year: 2018
  end-page: 1278
  article-title: Enhanced removal of aqueous acetaminophen by a laccase‐catalyzed oxidative coupling reaction under a dual‐pH optimization strategy
  publication-title: Sci Total Environ
– volume: 9
  issue: 42
  year: 2023
  article-title: A self‐assembled implantable microtubular pacemaker for wireless cardiac electrotherapy
  publication-title: Sci Adv
– volume: 2
  start-page: 514
  year: 2014
  end-page: 525
  article-title: Big data deep learning: challenges and perspectives
  publication-title: IEEE Access
– year: 2021
– volume: 9
  start-page: 204
  issue: 3
  year: 2011
  end-page: 213
  article-title: Towards a point‐of‐care test for active tuberculosis: obstacles and opportunities
  publication-title: Nat Rev Microbiol
– volume: 559
  start-page: 547
  issue: 7715
  year: 2018
  end-page: 555
  article-title: Machine learning for molecular and materials science
  publication-title: Nature
– volume: 62
  issue: 7
  year: 2019
  article-title: Abductive learning: towards bridging machine learning and logical reasoning
  publication-title: Sci China Inf Sci
– volume: 4
  start-page: 591
  issue: 6
  year: 2020
  end-page: 600
  article-title: A fidget spinner for the point‐of‐care diagnosis of urinary tract infection
  publication-title: Nat Biomed Eng
– volume: 7
  start-page: 18582
  issue: 22
  year: 2019
  end-page: 18592
  article-title: Co/Co O nanoparticles coupled with hollow nanoporous carbon polyhedrons for the enhanced electrochemical sensing of acetaminophen
  publication-title: ACS Sustain Chem Eng
– volume: 1
  start-page: 95
  issue: 2
  year: 2019
  end-page: 104
  article-title: Deep‐learning cardiac motion analysis for human survival prediction
  publication-title: Nat Mach Intell
– start-page: 1089
  year: 2005
  end-page: 1092
– volume: 494
  year: 2024
  article-title: Enhanced functionalization of nonwoven fabric by spray coating AgNPs/CNTs solution prepared by a one‐step method
  publication-title: Chem Eng J
– volume: 8
  issue: 4
  year: 2023
  article-title: Label‐free atherosclerosis diagnosis through a blood drop of apolipoprotein E knockout mouse model using surface‐enhanced Raman spectroscopy validated by machine learning algorithm
  publication-title: Bioeng Transl Med
– volume: 45
  start-page: 544
  issue: 3
  year: 2012
  end-page: 556
  article-title: A framework for the comparison of mobile patient monitoring systems
  publication-title: J Biomed Inform
– volume: 2
  issue: 11
  year: 2016
  article-title: Epidermal mechano‐acoustic sensing electronics for cardiovascular diagnostics and human‐machine interfaces
  publication-title: Sci Adv
– volume: 22
  start-page: 541
  year: 2019
  end-page: 549
  article-title: Self‐supervised learning for cardiac mr image segmentation by anatomical position prediction
  publication-title: Med Image Comput Comput Assist Interv
– volume: 110
  year: 2022
  article-title: A comprehensive survey of clustering algorithms: state‐of‐the‐art machine learning applications, taxonomy, challenges, and future research prospects
  publication-title: Eng Appl Artif Intel
– volume: 208
  year: 2021
  article-title: Post‐construction of weaving structure in aramid fiber towards improvements of its transverse properties
  publication-title: Compos Sci Technol
– volume: 113
  start-page: 600
  year: 2016
  end-page: 609
  article-title: Prevalence and prevention of cardiovascular disease and diabetes mellitus
  publication-title: Pharmacol Res
– volume: 186
  year: 2024
  article-title: Three‐dimensional random network of metacomposites by synergizing multi‐walled carbon nanotube‐carbon black for tunable epsilon‐negative and epsilon‐near‐zero responses
  publication-title: Compos Part A Appl Sci Manuf
– volume: 8
  issue: 12
  year: 2022
  article-title: Advances in bioinspired triboelectric nanogenerators
  publication-title: Adv Electron Mater
– volume: 28
  start-page: 1773
  issue: 9
  year: 2022
  end-page: 1784
  article-title: Multimodal biomedical AI
  publication-title: Nat Med
– start-page: 1
  year: 2019
  end-page: 9
– volume: 223
  year: 2022
  article-title: Coassembly of elastomeric microfibers and silver nanowires for fabricating ultra‐stretchable microtextiles with weakly and tunable negative permittivity
  publication-title: Compos Sci Technol
– volume: 23
  start-page: 40
  issue: 1
  year: 2022
  end-page: 55
  article-title: A guide to machine learning for biologists
  publication-title: Nat Rev Mol Cell Biol
– volume: 606
  start-page: 739
  issue: 7915
  year: 2022
  end-page: 746
  article-title: Molecularly defined circuits for cardiovascular and cardiopulmonary control
  publication-title: Nature
– volume: 18
  start-page: 465
  issue: 7
  year: 2021
  end-page: 478
  article-title: Artificial intelligence‐enhanced electrocardiography in cardiovascular disease management
  publication-title: Nat Rev Cardiol
– volume: 107
  start-page: 10
  year: 2018
  end-page: 16
  article-title: An electrochemical immunosensor based on a 3D carbon system consisting of a suspended mesh and substrate‐bound interdigitated array nanoelectrodes for sensitive cardiac biomarker detection
  publication-title: Biosens Bioelectron
– volume: 185
  year: 2023
  article-title: One‐step brush‐coating strategy for low‐haze and water‐resistant transparent wood films
  publication-title: Prog Org Coat
– volume: 150
  start-page: 25
  issue: 1
  year: 2003
  end-page: 38
  article-title: Combining abductive reasoning and inductive learning to evolve requirements specifications
  publication-title: IEE Proc Softw
– volume: 8
  issue: 3
  year: 2023
  article-title: Internet‐of‐medical‐things integrated point‐of‐care biosensing devices for infectious diseases: toward better preparedness for futuristic pandemics
  publication-title: Bioeng Transl Med
– volume: 39
  start-page: 777
  issue: 3
  year: 2002
  end-page: 780
  article-title: Oxidative stress in leukocytes is a possible link between blood pressure, blood glucose, and C‐reacting protein
  publication-title: Hypertension
– volume: 207
  year: 2024
  article-title: Strong, tough, anisotropic, flexible, and transparent bamboo films
  publication-title: Ind Crops Prod
– volume: 53
  start-page: 127
  issue: 2
  year: 2011
  end-page: 138
  article-title: Non‐invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques
  publication-title: Artif Intell Med
– volume: 38
  year: 2020
  article-title: A comprehensive survey and analysis of generative models in machine learning
  publication-title: Comput Sci Rev
– volume: 205
  year: 2023
  article-title: Photochromic transparent bamboo composite with excellent optical and thermal management for smart window applications
  publication-title: Ind Crops Prod
– volume: 7
  start-page: 64351
  year: 2019
  end-page: 64365
  article-title: Semi‐supervised K‐means DDoS detection method using hybrid feature selection algorithm
  publication-title: IEEE Access
– volume: 8
  issue: 2
  year: 2023
  article-title: SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis
  publication-title: Bioeng Transl Med
– volume: 22
  start-page: 1668
  issue: 10
  year: 2011
  end-page: 1675
  article-title: Deep learning regularized fisher mappings
  publication-title: IEEE Trans Neural Netw
– volume: 43
  start-page: 6233
  year: 2024
  end-page: 6254
  article-title: Metal‐based nanowires in electrical biosensing
  publication-title: Rare Met
– volume: 28
  start-page: 575
  issue: 3
  year: 2022
  end-page: 582
  article-title: Deep learning‐enabled assessment of cardiac allograft rejection from endomyocardial biopsies
  publication-title: Nat Med
– volume: 5
  start-page: 1342
  issue: 1345
  year: 2022
  end-page: 1345
  article-title: Bioinspired acoustic textiles with nanoscale vibrations for wearable biomonitoring
  publication-title: Matter
– volume: 8
  issue: 8
  year: 2023
  article-title: Air‐permeable textile bioelectronics for wearable energy harvesting and active sensing
  publication-title: Adv Mater Technol
– volume: 89
  start-page: 764
  year: 2017
  end-page: 772
  article-title: Ultrasensitive nanostructure sensor arrays on flexible substrates for multiplexed and simultaneous electrochemical detection of a panel of cardiac biomarkers
  publication-title: Biosens Bioelectron
– volume: 24
  start-page: 597
  issue: 5
  year: 2022
  end-page: 609
  article-title: State‐of‐the‐art of endomyocardial biopsy on acute myocarditis and chronic inflammatory cardiomyopathy
  publication-title: Curr Cardiol Rep
– volume: 1022
  issue: 1
  year: 2021
  article-title: Heart disease prediction using machine learning algorithms
  publication-title: IOP Conf Ser Mater Sci Eng
– volume: 35
  issue: 18
  year: 2023
  article-title: A review of research on co‐training
  publication-title: Concurr Comput Pract Exp
– volume: 2
  start-page: 231
  issue: 3
  year: 2004
  end-page: 240
  article-title: Diagnostics for the developing world
  publication-title: Nat Rev Microbiol
– volume: 29
  start-page: 1804
  issue: 7
  year: 2023
  end-page: 1813
  article-title: Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
  publication-title: Nat Med
– volume: 11
  issue: 1
  year: 2021
  article-title: A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology
  publication-title: Sci Rep
– volume: 6
  issue: 1
  year: 2021
  article-title: Point‐of‐care semen analysis of patients with infertility via smartphone and colorimetric paper‐based diagnostic device
  publication-title: Bioeng Transl Med
– volume: 5
  start-page: 3346
  issue: 11
  year: 2020
  end-page: 3364
  article-title: Advancing biosensors with machine learning
  publication-title: ACS Sens
– volume: 25
  start-page: 24
  issue: 1
  year: 2019
  end-page: 29
  article-title: A guide to deep learning in healthcare
  publication-title: Nat Med
– volume: 9
  year: 2024
  article-title: Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers
  publication-title: Bioeng Transl Med
– volume: 150
  year: 2020
  article-title: Bimetallic nanoparticles decorated hollow nanoporous carbon framework as nanozyme biosensor for highly sensitive electrochemical sensing of uric acid
  publication-title: Biosens Bioelectron
– volume: 2021
  start-page: 1
  year: 2021
  end-page: 8
  article-title: Cardiac disorder classification by electrocardiogram sensing using deep neural network
  publication-title: Complexity
– volume: 5
  issue: 3
  year: 2020
  article-title: Current diagnostic tools for coronaviruses—from laboratory diagnosis to POC diagnosis for COVID‐19
  publication-title: Bioeng Transl Med
– volume: 113
  year: 2023
  article-title: Deep learning assisted ternary electrification layered triboelectric membrane sensor for self‐powered home security
  publication-title: Nano Energy
– volume: 53
  start-page: 257
  issue: 1
  year: 2021
  end-page: 266
  article-title: Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID‐19 patients: results from a retrospective cohort study
  publication-title: Ann Med
– volume: 8
  start-page: 80716
  year: 2020
  end-page: 80727
  article-title: Unsupervised K‐means clustering algorithm
  publication-title: IEEE Access
– volume: 5
  year: 2024
  article-title: Frontiers in artificial intelligence‐directed light‐sheet microscopy for uncovering biological phenomena and multiorgan imaging
  publication-title: View
– volume: 10
  issue: 50
  year: 2024
  article-title: Rapid prediction of acute thrombosis via nanoengineered immunosensors with unsupervised clustering for multiple circulating biomarkers
  publication-title: Sci Adv
– volume: 88
  start-page: 10019
  issue: 20
  year: 2016
  end-page: 10027
  article-title: Aptamer‐based microfluidic electrochemical biosensor for monitoring cell‐secreted trace cardiac biomarkers
  publication-title: Anal Chem
– year: 2006
– volume: 7
  start-page: 94701
  year: 2019
  end-page: 94716
  article-title: An automated strategy for early risk identification of sudden cardiac death by using machine learning approach on measurable arrhythmic risk markers
  publication-title: IEEE Access
– volume: 10
  issue: 20
  year: 2023
  article-title: Learning hand kinematics for Parkinson's disease assessment using a multimodal sensor glove
  publication-title: Adv Sci
– volume: 8
  start-page: 222
  issue: 1
  year: 2021
  end-page: 237
  article-title: Heart failure after myocardial infarction: incidence and predictors
  publication-title: ESC Heart Fail
– volume: 160
  year: 2023
  article-title: Early detection of tumour‐associated antigens: assessment of point‐of‐care electrochemical immunoassays
  publication-title: Trends Anal Chem
– volume: 5
  year: 2023
  article-title: Robust hydrogel sensors for unsupervised learning enabled sign‐to‐verbal translation
  publication-title: InfoMat
– volume: 6
  issue: 10
  year: 2022
  article-title: Self‐powered smart gloves based on triboelectric nanogenerators
  publication-title: Small Methods
– volume: 19
  start-page: 43
  issue: 1
  year: 2022
  end-page: 58
  article-title: Immune cell profiling in atherosclerosis: role in research and precision medicine
  publication-title: Nat Rev Cardiol
– volume: 2
  start-page: 20
  issue: 1
  year: 2021
  end-page: 30
  article-title: A review of principal component analysis algorithm for dimensionality reduction
  publication-title: J Soft Comput Data Min
– volume: 2
  start-page: 305
  issue: 6
  year: 2020
  end-page: 311
  article-title: Secure, privacy‐preserving and federated machine learning in medical imaging
  publication-title: Nat Mach Intell
– volume: 14
  year: 2020
  article-title: Artificial intelligence, machine learning, and cardiovascular disease
  publication-title: Clin Med Insights Cardiol
– ident: e_1_2_11_120_1
  doi: 10.1109/JBHI.2020.3022989
– ident: e_1_2_11_154_1
  doi: 10.1016/j.indcrop.2023.117532
– ident: e_1_2_11_65_1
  doi: 10.1038/s41580-021-00407-0
– ident: e_1_2_11_115_1
  doi: 10.1002/adma.202104178
– ident: e_1_2_11_146_1
  doi: 10.1016/j.jbi.2012.02.007
– ident: e_1_2_11_150_1
  doi: 10.1039/D2LC00872F
– ident: e_1_2_11_46_1
  doi: 10.1038/s41569-020-00445-9
– start-page: 1089
  volume-title: International Conference on Neural Networks and Brain (ICNNB)
  year: 2005
  ident: e_1_2_11_122_1
– ident: e_1_2_11_9_1
  doi: 10.1016/j.artmed.2011.05.001
– volume: 33
  start-page: 5679
  year: 2020
  ident: e_1_2_11_109_1
  article-title: Self‐supervised co‐training for video representation learning
  publication-title: Adv Neural Inf Process Syst
– ident: e_1_2_11_111_1
  doi: 10.1109/ACCESS.2019.2917532
– ident: e_1_2_11_128_1
  doi: 10.1038/nbt.1641
– ident: e_1_2_11_102_1
– ident: e_1_2_11_85_1
  doi: 10.1038/s41583-020-00395-8
– ident: e_1_2_11_144_1
  doi: 10.1007/s12274-023-5725-8
– ident: e_1_2_11_39_1
  doi: 10.1016/S1470-2045(19)30149-4
– ident: e_1_2_11_50_1
  doi: 10.1016/j.biotechadv.2016.02.008
– ident: e_1_2_11_88_1
  doi: 10.21105/joss.02607
– ident: e_1_2_11_99_1
  doi: 10.1016/j.jclepro.2020.120664
– ident: e_1_2_11_119_1
  doi: 10.1161/CIRCEP.119.007952
– ident: e_1_2_11_96_1
  doi: 10.1038/s41569-021-00589-2
– ident: e_1_2_11_76_1
  doi: 10.1155/2019/4180949
– ident: e_1_2_11_37_1
  doi: 10.1038/s41746-022-00592-y
– ident: e_1_2_11_61_1
  doi: 10.1038/s41586-021-04223-6
– ident: e_1_2_11_160_1
  doi: 10.1038/s41591-023-02396-3
– ident: e_1_2_11_52_1
  doi: 10.1126/sciadv.1601185
– ident: e_1_2_11_157_1
  doi: 10.1016/j.compscitech.2021.108780
– ident: e_1_2_11_35_1
  doi: 10.1016/j.compbiomed.2020.103801
– ident: e_1_2_11_56_1
  doi: 10.1126/sciadv.abo1874
– ident: e_1_2_11_133_1
  doi: 10.1016/j.coco.2023.101750
– ident: e_1_2_11_129_1
  doi: 10.1016/j.scitotenv.2017.10.191
– ident: e_1_2_11_3_1
  doi: 10.1161/CIRCRESAHA.122.321877
– ident: e_1_2_11_4_1
  doi: 10.1056/NEJMra035098
– ident: e_1_2_11_118_1
  doi: 10.1038/s41569-020-00503-2
– ident: e_1_2_11_29_1
  doi: 10.1002/btm2.10694
– volume: 31
  start-page: 3697
  year: 2018
  ident: e_1_2_11_83_1
  article-title: Unsupervised attention‐guided image‐to‐image translation
  publication-title: Adv Neural Inf Process Syst
– ident: e_1_2_11_147_1
  doi: 10.1007/s44258-023-00001-3
– ident: e_1_2_11_48_1
  doi: 10.1021/acsnano.2c10371
– ident: e_1_2_11_110_1
  doi: 10.1016/j.ins.2020.03.094
– ident: e_1_2_11_139_1
  doi: 10.1016/j.snb.2020.129336
– ident: e_1_2_11_73_1
  doi: 10.1002/widm.1379
– ident: e_1_2_11_80_1
  doi: 10.1016/S0959-4388(02)00304-5
– ident: e_1_2_11_19_1
  doi: 10.1002/btm2.10476
– ident: e_1_2_11_101_1
  doi: 10.1109/ACCESS.2020.2988796
– ident: e_1_2_11_77_1
  doi: 10.1016/j.nanoen.2023.108524
– ident: e_1_2_11_25_1
  doi: 10.1016/j.bios.2021.113074
– ident: e_1_2_11_162_1
  doi: 10.1002/advs.202206982
– ident: e_1_2_11_116_1
  doi: 10.1016/j.compositesa.2024.108410
– ident: e_1_2_11_126_1
  doi: 10.1007/s11886-022-01680-x
– ident: e_1_2_11_17_1
  doi: 10.1002/btm2.10176
– ident: e_1_2_11_100_1
  doi: 10.1016/j.engappai.2022.104743
– ident: e_1_2_11_26_1
  doi: 10.1016/j.trac.2022.116806
– ident: e_1_2_11_42_1
  doi: 10.1038/s42256-020-0146-9
– ident: e_1_2_11_105_1
  doi: 10.1016/j.cosrev.2020.100285
– ident: e_1_2_11_21_1
  doi: 10.1038/nrmicro2521
– ident: e_1_2_11_71_1
  doi: 10.1016/j.ceh.2020.11.002
– ident: e_1_2_11_130_1
  doi: 10.1007/s12598-024-02821-7
– ident: e_1_2_11_36_1
  doi: 10.1148/radiol.2020192224
– ident: e_1_2_11_142_1
  doi: 10.1016/j.inffus.2017.02.003
– ident: e_1_2_11_34_1
  doi: 10.1016/j.infsof.2020.106287
– ident: e_1_2_11_131_1
  doi: 10.1016/j.aca.2022.340447
– ident: e_1_2_11_167_1
  doi: 10.1016/j.compscitech.2022.109415
– ident: e_1_2_11_82_1
  doi: 10.1007/s12551-018-0449-9
– ident: e_1_2_11_140_1
  doi: 10.1038/s41746-022-00712-8
– ident: e_1_2_11_53_1
  doi: 10.1126/sciadv.adq6778
– ident: e_1_2_11_145_1
  doi: 10.3389/fmats.2023.1146045
– volume: 2021
  start-page: 1
  year: 2021
  ident: e_1_2_11_143_1
  article-title: Cardiac disorder classification by electrocardiogram sensing using deep neural network
  publication-title: Complexity
– ident: e_1_2_11_49_1
  doi: 10.1016/j.bios.2020.112621
– ident: e_1_2_11_165_1
  doi: 10.1007/s12598-023-02298-w
– ident: e_1_2_11_95_1
  doi: 10.1080/07853890.2020.1868564
– ident: e_1_2_11_112_1
  doi: 10.1016/j.athoracsur.2019.09.042
– ident: e_1_2_11_135_1
  doi: 10.1016/j.bios.2018.02.010
– ident: e_1_2_11_45_1
  doi: 10.1038/nature14539
– ident: e_1_2_11_15_1
  doi: 10.1049/ip-sen:20030207
– ident: e_1_2_11_63_1
  doi: 10.1109/TNN.2011.2162429
– ident: e_1_2_11_57_1
  doi: 10.1016/j.bios.2019.111869
– ident: e_1_2_11_27_1
  doi: 10.1038/nrmicro841
– ident: e_1_2_11_81_1
  doi: 10.1038/s41598-021-84698-5
– ident: e_1_2_11_40_1
  doi: 10.1038/s41586-018-0337-2
– ident: e_1_2_11_12_1
  doi: 10.1002/btm2.10420
– ident: e_1_2_11_51_1
  doi: 10.1002/btm2.10643
– ident: e_1_2_11_86_1
  doi: 10.1109/HPEC.2019.8916327
– ident: e_1_2_11_121_1
  doi: 10.1016/j.compbiomed.2020.103726
– ident: e_1_2_11_55_1
  doi: 10.1002/adfm.201906713
– ident: e_1_2_11_103_1
  doi: 10.1007/s10994-019-05855-6
– volume: 1
  issue: 5
  year: 2019
  ident: e_1_2_11_68_1
  article-title: Automated deep learning design for medical image classification by health‐care professionals with no coding experience: a feasibility study
  publication-title: Lancet Digit Health
– ident: e_1_2_11_2_1
  doi: 10.1002/adhm.202100116
– ident: e_1_2_11_59_1
  doi: 10.1016/j.electacta.2018.07.228
– ident: e_1_2_11_60_1
  doi: 10.1021/acsanm.8b01501
– ident: e_1_2_11_90_1
  doi: 10.1002/inf2.12419
– volume: 33
  start-page: 22243
  year: 2020
  ident: e_1_2_11_104_1
  article-title: Big self‐supervised models are strong semi‐supervised learners
  publication-title: Adv Neural Inf Process Syst
– ident: e_1_2_11_98_1
  doi: 10.1038/s41586-022-05060-x
– ident: e_1_2_11_164_1
  doi: 10.1038/s42256-020-0186-1
– ident: e_1_2_11_159_1
  doi: 10.1038/s42256-019-0019-2
– ident: e_1_2_11_18_1
  doi: 10.1002/btm2.10177
– ident: e_1_2_11_153_1
  doi: 10.3389/fchem.2014.00063
– ident: e_1_2_11_138_1
  doi: 10.1016/j.bios.2016.10.046
– ident: e_1_2_11_149_1
  doi: 10.1002/admt.202201703
– ident: e_1_2_11_28_1
  doi: 10.1126/science.aaa8415
– ident: e_1_2_11_79_1
  doi: 10.1037/a0018695
– ident: e_1_2_11_33_1
  doi: 10.1002/advs.202400596
– ident: e_1_2_11_16_1
  doi: 10.1021/acs.chemrev.1c00502
– ident: e_1_2_11_44_1
  doi: 10.1002/btm2.10553
– ident: e_1_2_11_113_1
  doi: 10.1177/1179546820927404
– ident: e_1_2_11_74_1
  doi: 10.1007/s11042-019-7327-8
– ident: e_1_2_11_127_1
  doi: 10.1038/s41591-022-01709-2
– ident: e_1_2_11_156_1
  doi: 10.1002/aelm.202200782
– ident: e_1_2_11_67_1
  doi: 10.1145/3477600
– ident: e_1_2_11_41_1
  doi: 10.1038/523416a
– volume-title: Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More
  year: 2021
  ident: e_1_2_11_87_1
– ident: e_1_2_11_92_1
  doi: 10.1038/s41586-022-04760-8
– ident: e_1_2_11_43_1
  doi: 10.1109/ACCESS.2014.2325029
– ident: e_1_2_11_32_1
  doi: 10.1002/VIW.20230087
– volume: 22
  start-page: 541
  year: 2019
  ident: e_1_2_11_69_1
  article-title: Self‐supervised learning for cardiac mr image segmentation by anatomical position prediction
  publication-title: Med Image Comput Comput Assist Interv
– volume: 2
  start-page: 20
  issue: 1
  year: 2021
  ident: e_1_2_11_91_1
  article-title: A review of principal component analysis algorithm for dimensionality reduction
  publication-title: J Soft Comput Data Min
– ident: e_1_2_11_23_1
  doi: 10.1016/j.trac.2022.116904
– ident: e_1_2_11_134_1
  doi: 10.1016/j.indcrop.2023.117757
– ident: e_1_2_11_166_1
  doi: 10.1002/VIW.20220025
– ident: e_1_2_11_10_1
  doi: 10.1161/hy0302.104670
– ident: e_1_2_11_58_1
  doi: 10.1021/acssuschemeng.9b04813
– volume-title: Supervised and Unsupervised Learning for Data Science
  year: 2019
  ident: e_1_2_11_89_1
– ident: e_1_2_11_94_1
  doi: 10.1038/s44161-022-00028-6
– ident: e_1_2_11_13_1
  doi: 10.1002/btm2.10616
– ident: e_1_2_11_158_1
  doi: 10.1021/acsami.3c06308
– volume: 9
  issue: 1
  year: 2020
  ident: e_1_2_11_31_1
  article-title: A survey on contrastive self‐supervised learning
  publication-title: Dent Tech
– ident: e_1_2_11_97_1
  doi: 10.1088/1757‐899X/1022/1/012072
– ident: e_1_2_11_54_1
  doi: 10.1002/btm2.10481
– ident: e_1_2_11_78_1
  doi: 10.1109/CVPR.2016.90
– start-page: 5982
  volume-title: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
  year: 2019
  ident: e_1_2_11_107_1
– ident: e_1_2_11_20_1
  doi: 10.1016/j.bios.2022.114050
– ident: e_1_2_11_75_1
  doi: 10.1038/s41591-018-0316-z
– ident: e_1_2_11_106_1
  doi: 10.1038/s41586-021-04043-8
– ident: e_1_2_11_152_1
  doi: 10.1016/j.porgcoat.2023.107912
– ident: e_1_2_11_66_1
  doi: 10.1021/acssensors.0c01424
– ident: e_1_2_11_132_1
  doi: 10.1007/s00216-023-04514-z
– ident: e_1_2_11_155_1
  doi: 10.1002/smtd.202200830
– ident: e_1_2_11_161_1
  doi: 10.1002/adfm.202214265
– volume-title: Disease Control Priorities in Developing Countries
  year: 2006
  ident: e_1_2_11_5_1
– ident: e_1_2_11_11_1
  doi: 10.1016/j.matt.2022.03.014
– start-page: 1242
  volume-title: Proceedings of IEEE International Conference on Computer Vision
  year: 2017
  ident: e_1_2_11_84_1
– ident: e_1_2_11_72_1
  doi: 10.3390/su12062403
– ident: e_1_2_11_151_1
  doi: 10.1073/pnas.2300953120
– volume: 9
  start-page: 1
  issue: 1
  year: 2008
  ident: e_1_2_11_62_1
  article-title: Max‐margin classification of data with absent features
  publication-title: J Mach Learn Res
– ident: e_1_2_11_125_1
  doi: 10.1016/j.ins.2020.06.025
– ident: e_1_2_11_123_1
  doi: 10.1088/0967-3334/29/7/004
– ident: e_1_2_11_93_1
  doi: 10.1002/ehf2.13144
– ident: e_1_2_11_47_1
  doi: 10.1038/s41551-020-0557-2
– ident: e_1_2_11_117_1
  doi: 10.1016/j.cej.2024.153101
– ident: e_1_2_11_141_1
  doi: 10.1038/s41591-022-01981-2
– ident: e_1_2_11_14_1
  doi: 10.1007/s11432-018-9801-4
– ident: e_1_2_11_64_1
  doi: 10.1007/s13042-024-02246-9
– ident: e_1_2_11_7_1
  doi: 10.1186/s12933-018-0703-2
– ident: e_1_2_11_70_1
  doi: 10.1039/C5TX00294J
– ident: e_1_2_11_137_1
  doi: 10.1021/acssensors.4c01594
– ident: e_1_2_11_108_1
  doi: 10.1002/cpe.6276
– ident: e_1_2_11_24_1
  doi: 10.1039/D3SD00170A
– ident: e_1_2_11_114_1
  doi: 10.1007/s42114-024-00906-6
– ident: e_1_2_11_124_1
  doi: 10.1109/ACCESS.2019.2925847
– ident: e_1_2_11_148_1
  doi: 10.1002/smll.202300386
– ident: e_1_2_11_163_1
  doi: 10.1016/j.matt.2023.06.008
– ident: e_1_2_11_30_1
  doi: 10.1002/btm2.10529
– ident: e_1_2_11_22_1
  doi: 10.1016/j.trac.2023.116981
– ident: e_1_2_11_6_1
  doi: 10.1126/sciadv.adj0540
– ident: e_1_2_11_136_1
  doi: 10.1021/acs.analchem.6b02028
– ident: e_1_2_11_38_1
  doi: 10.1016/j.ins.2019.10.069
– ident: e_1_2_11_8_1
  doi: 10.1016/j.phrs.2016.09.040
SSID ssj0001613384
Score 2.34917
SecondaryResourceType review_article
Snippet Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development...
Abstract Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The...
SourceID doaj
unpaywall
pubmedcentral
proquest
pubmed
crossref
wiley
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage e70002
SubjectTerms Abnormalities
Accuracy
Algorithms
Arteriosclerosis
Biomarkers
Cardiovascular disease
cardiovascular diseases (CVDs)
continuous health monitoring
Datasets
Deep learning
Diabetes
Health care
Heart attacks
Heart rate
Hypertension
Infections
Laboratories
Machine learning
Medical equipment
Medical research
Mortality
Patients
Physiology
point‐of‐care (POC) diagnostics
Review
Viral infections
SummonAdditionalLinks – databaseName: Directory of Open Access Journals (DOAJ)
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3BTtwwELUQF8qhghbaAEVBcAEpkNiTxD4WVISQlhMIbpbt2AW0za7KrhA3PoFv7Jd07GSjjYrgUkVKImci2TPjzLMzekPInuGpyZ2mCaIRm0CWiURlLE84d6VSKjVC-X3IwUVxdgXnN_nNXKkvnxPW0AM3ivMltSxo0DrVFK-lwJhvDS5UnFBG2UC2nXIxt5i6b3AMrr2g4yOlR3ryix6W6Wz_ZBaBAlH_a-jy3yTJpWk9Vk-PajjsA9kQiU5XyMcWQsbfm66vkgVbfyLLc8SCn8n1IORI2rgtCvHzz_MLomRv0ioej-7qCTaMHJ585ldcNfl2nrE5RhAbm16Sanzb5YitkavTH5cnZ0lbQiExCFRoYirNMupSWrlMQckYVRWYnJegcyqq0kFhhTDccgYOwYLVudLAc1d4ZqnCsXWyWI9q-5XE-CJ-HBWDymnIVKEVYpeMVbTUucCQF5H9mVqlafnFfZmLoWyYkan0JpDBBBHZ7WTHDavGq1LH3jqdhGfCDg3oH7L1D_mef0Rka2Zb2U7PB8moPwCxYER2usc4sfzfElXb0TTIMMSDDFhEvjSu0PUEV8Hoc37MvOckva72n9R3t4G8O6MICABwcHudP72pg4Pgam-IyOPLAQ13G_9DYZvkA_U1jkNK8hZZnPye2m8IvCZ6O8yxv6w0L9M
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Unpaywall
  dbid: UNPAY
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Nb9QwEB1V2wNwoHwTKChALyBliT-SOMe2oqqQtuLQFeVk2Y7dVizZFWSF2lN_Ar-RX8LYyUYNVCsUKYmScWR7xvFL8vIGYMeI1GRO0wTRiE04IWWiCMsSIVyhlEpNqfx7yMlRfjjlH0-ykw14vfoXZvj9nr7XzTc6LtKgF7mZZ4i3R7A5Pfq0-yVkjROeu56TXnf0eoHBTBME-W9Ckf-SIW8t64W6-KlmsyFgDTPOwRbsr-raEk2-jpeNHpvLv2Qc1zfmHtztAGe820bIfdiw9QO4c02G8CF8ngRGpY27FBKnv69-Iab2AVDFi_l53eCBucOV54nFVcvO8_rOMULe2AworfFZzyh7BNODD8f7h0mXcCExCGtoYirNCHUprRxRvGCMqoqbTBRcZ7SsCsdzW5ZGWMG4Q2hhdaY0F5nLvQ5V7thjGNXz2j6FGAvirVQxXjnNicq1QqRDWEULjU4sRARvV86RplMj90kxZrLVUabSd5YMnRXBm9520Wpw3Gi1533cW3jd7HAAPSC7YSiV1pZrrnWqKW6LEhGkNfjY60pllM0j2F5FiOwG8w_JqF84IscIXvWncRj6byuqtvNlsGGIHhlnETxpA6qvCT4zp6L0bRaDUBtUdXimPj8LUt-EInzgHBu300fl2j54FwJ2jYncO57QsPfs_675HG5Tn_M4UJS3YdR8X9oXCMQa_bIbiX8ADmoybQ
  priority: 102
  providerName: Unpaywall
– databaseName: Wiley Online Library Open Access
  dbid: 24P
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1fa9UwFA9jPqgP4n-rUyruRaGuSU7bBHxx4hjCFR823FtJ0mQbXNvLdi_imx_Bz-gn8Zy0t9fiGEihLckJtDnnJL-kp7_D2K5TuSuCFRmiEZ8B5zozXBaZUqEyxuROG9qHnH0uD4_h00lxssXerf-F6fkhxg038ow4XpODG3u5tyENtctv4m2VRybJGxyBDNm3gC-bHZaS1l8Qs8spinEv-chPKvY2zSczUiTuvwpt_hs0eXPVLsyP72Y-nwLbODMd3GV3BkiZvu9t4B7b8u19dvsvosEH7Ossxkz6dEgScfr75y9EzaTiJl105-0SC7qAJ4oES5s-_o4YnFMEtambBK2mZ2PM2EN2fPDx6MNhNqRUyBwCF5G5xkouQi6awA1UUgrTgCtUBbYQuqkClF5rp7ySEBA8eFsYC6oIJTFNlUE-Yttt1_onLMWGOFgaCU2wwE1pDWIZLhtR2ULjFJiw1-turd3AN05pL-Z1z5QsalJBHVWQsFej7KJn2bhSap-0M0oQM3Ys6C5O68HRamOtBwvW5lbgtdKIEb3DhW3QxhlfJmxnrdt6cNfLWgo6ALFhwl6O1eho9PXEtL5bRRmJ-FCCTNjj3hTGJ8FVca40vbOaGMnkUac17flZJPPmAgECAL7c7mhP1_bBm2hq14jU-0czEe-e_o_wM3ZLUG7jGIq8w7aXFyv_HAHX0r6IfvUHz4UoWQ
  priority: 102
  providerName: Wiley-Blackwell
Title Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fbtm2.70002
https://www.ncbi.nlm.nih.gov/pubmed/40708978
https://www.proquest.com/docview/3232324644
https://www.proquest.com/docview/3233256343
https://pubmed.ncbi.nlm.nih.gov/PMC12284442
https://doi.org/10.1002/btm2.70002
https://doaj.org/article/abbe4b4bb0b24b479154ec210f9acae6
UnpaywallVersion publishedVersion
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: KQ8
  dateStart: 20160301
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: DOA
  dateStart: 20160101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVEBS
  databaseName: EBSCOhost Academic Search Ultimate
  customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: ABDBF
  dateStart: 20160301
  isFulltext: true
  titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn
  providerName: EBSCOhost
– providerCode: PRVBFR
  databaseName: Free Medical Journals
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: DIK
  dateStart: 20160101
  isFulltext: true
  titleUrlDefault: http://www.freemedicaljournals.com
  providerName: Flying Publisher
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: M~E
  dateStart: 20160101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVAQN
  databaseName: PubMed Central
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: RPM
  dateStart: 20160101
  isFulltext: true
  titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/
  providerName: National Library of Medicine
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: BENPR
  dateStart: 20160301
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Technology Collection
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: 8FG
  dateStart: 20160301
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/technologycollection1
  providerName: ProQuest
– providerCode: PRVWIB
  databaseName: KBPluse Wiley Online Library: Open Access
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: AVUZU
  dateStart: 20160301
  isFulltext: true
  titleUrlDefault: https://www.kbplus.ac.uk/kbplus7/publicExport/pkg/559
  providerName: Wiley-Blackwell
– providerCode: PRVWIB
  databaseName: Wiley Online Library Open Access
  customDbUrl:
  eissn: 2380-6761
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0001613384
  issn: 2380-6761
  databaseCode: 24P
  dateStart: 20160101
  isFulltext: true
  titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html
  providerName: Wiley-Blackwell
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB61uwfggHiTUlZB9AJSaGI7rwNCG-hSIe1qhbqinCLbsdtKS7Itu0Lc-An8Rn4JY-dRIqpVpDwnkp0Z25_Hk28ADmTiy1AL4iEaUR4LgtTjAQ29JNEx59yXKTd-yOksOl6wT6fh6Q7M2n9hTFhl2yfajrqopPGRH1JiNobD97vVpWeyRpnV1TaFBm9SKxRvLcXYLgyJYcYawDA7ms0_X3tdIjMnYx1PKTkU62_kTey3fpV2ZLIE_jehzv-DJ29tyhX_-YMvl32Aa0eoyT2420BLd1zbwn3YUeUDuPMP4eBD-DK1sZPKbZJFnP359RvRs1F14a6qi3KNNyqNOxMR5hZ1HJ5hcnYR3LqyF7zqnnexY49gMTk6eX_sNakVPIkAhniyEDQg2ieFDjiLKSW8YDJMYiZCkhaxZpFKU5mohDKNIEKJkAuWhDoyjFORpo9hUFalegouvoidJqes0IIFPBIcMU1ACxKLMMWh0IFX7WfNZcM7btJfLPOaMZnkRgW5VYEDLzvZVc22caNUZrTTSRiGbHujujrLmwaXcyEUE0wIXxA8xiliRSXRJnTKJVeRA_utbvOm2X7Pr43MgRfdY2xwZhWFl6raWBmKOJEy6sCT2hS6kuDs2E9SU-ekZyS9ovaflBfnltQ7IAgUGMPKHXT2tPUbvLamtkUkz06mxJ7tba_rM7hNTFZjG4S8D4P11UY9R6i1FiPYJWyO-2TycQTDcfYhm4yaNjWy7gu8Wszm469_AXCAMi4
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6V9lA4IN4YChhRDiCZ2rvrxx4qRKBVSpsIoVTtbdlnWynYoU1U9cZP4BfxY_glzK4fJaLKrYqURPbY8u7M7nyzO_4GoXVVxCq1EkeARkxEk4RFIiFpVBQ2F0LEigm3DjkYZv19-vkwPVxCv9t3YVxaZTsn-olaV8qtkW8Q7D4U3Pf7yY_IVY1yu6ttCQ3RlFbQm55irHmxY9dcnEMId7a58wn0_Rrj7a3Rx37UVBmIFPhyHCktSYJtjLVNBM0JwUJTlRY5lSlmOrc0M4ypwhSEWvCnRqZC0iK1mSNfyiyB-95AK5RQBsHfSm9r-OXr5SpP5mJA2vGi4g05_Y7f5XG7jtN6Ql8w4CqU-3-y5uqsnIiLczEezwNq7xG376DbDZQNP9S2dxctmfIeuvUPweF9dDDwuZombIpTHP35-QvQujMtHU6qk3IKByoLXy4DLdR13p9jjg4BTIdqLlk2PO5y1R6g_Wvp5IdouaxK8xiFcCFM0oJQbSVNRCYFYKiEaJzLlIHrDdCbtlu5anjOXbmNMa8ZmjF3KuBeBQF61clOanaPK6V6TjudhGPk9geq0yPeDHAupDRUUiljieE3Z4BNjYKA2jKhhMkCtNbqljfTxBm_NOoAvexOwwB3uzaiNNXMyxDApYSSAD2qTaF7EojG44K5NhdzRjL3qPNnypNjTyKeYAAmlELj1jt7WtgHb72pLRDhvdEA-39PFrf1BVrtjwZ7fG9nuPsU3cSuorJPgF5Dy9PTmXkGMG8qnzdjKUTfrnv4_gVSEWhg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VIvE4IN4ECgRRDiCFTWzndUCIUpaWshWHVvQWbMduKy3J0u6q6o2fwO_h5_BLmHEeZUW1t2ql3VUyiWLPjOezPfkGYFVnoY6tYgGiEROIKMoDGfE4yDKbSilDnUtahxxtJxu74tNevLcEv7t3YSitshsT3UBd1prWyAec0Udg-B7YNi3iy_rw7eRHQBWkaKe1K6fRmMiWOT3B6dvxm8111PULxoYfdt5vBG2FgUBjHGeBLhWPmA1ZaSMpUs6ZLIWOs1SomOVlakVi8lxnJuPCYiw1KpZKZLFNiHgpsRzvewkup8TiTm-pDz-ere8kNPsTPSMqG6jpd_Y6DbsVnC4GulIB5-Hb_9M0r86qiTw9kePxPJR2sXB4E260INZ_11jdLVgy1W24_g-14R34OnJZmsZvy1Ls__n5C3E6GVXpT-rDaooHaotflHvml03GH3FG-wijfT2XJusf9Flqd2H3Qrr4HixXdWUegI8X4vAsuSitEpFMlET0FPGSpSrOMeh68LLr1kK3DOdUaGNcNNzMrCAVFE4FHjzvZScNr8e5UmuknV6CuLjdgfpov2hdu5BKGaGEUqFi-JvmiEqNxqm0zaWWJvFgpdNt0Q4Qx8WZOXvwrD-Nrk37NbIy9czJcESkXHAP7jem0D8JzsPDLKc2Z3NGMveo82eqwwNHHx4xhCRCYONWe3ta2AevnKktECnWdkbM_Xu4uK1P4Qo6bfF5c3vrEVxjVErZZT6vwPL0aGYeI76bqifOkXz4dtGe-xeE5GX6
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Nb9QwEB1V2wNwoHwTKChALyBliT-SOMe2oqqQtuLQFeVk2Y7dVizZFWSF2lN_Ar-RX8LYyUYNVCsUKYmScWR7xvFL8vIGYMeI1GRO0wTRiE04IWWiCMsSIVyhlEpNqfx7yMlRfjjlH0-ykw14vfoXZvj9nr7XzTc6LtKgF7mZZ4i3R7A5Pfq0-yVkjROeu56TXnf0eoHBTBME-W9Ckf-SIW8t64W6-KlmsyFgDTPOwRbsr-raEk2-jpeNHpvLv2Qc1zfmHtztAGe820bIfdiw9QO4c02G8CF8ngRGpY27FBKnv69-Iab2AVDFi_l53eCBucOV54nFVcvO8_rOMULe2AworfFZzyh7BNODD8f7h0mXcCExCGtoYirNCHUprRxRvGCMqoqbTBRcZ7SsCsdzW5ZGWMG4Q2hhdaY0F5nLvQ5V7thjGNXz2j6FGAvirVQxXjnNicq1QqRDWEULjU4sRARvV86RplMj90kxZrLVUabSd5YMnRXBm9520Wpw3Gi1533cW3jd7HAAPSC7YSiV1pZrrnWqKW6LEhGkNfjY60pllM0j2F5FiOwG8w_JqF84IscIXvWncRj6byuqtvNlsGGIHhlnETxpA6qvCT4zp6L0bRaDUBtUdXimPj8LUt-EInzgHBu300fl2j54FwJ2jYncO57QsPfs_675HG5Tn_M4UJS3YdR8X9oXCMQa_bIbiX8ADmoybQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Machine+learning%E2%80%90assisted+point%E2%80%90of%E2%80%90care+diagnostics+for+cardiovascular+healthcare&rft.jtitle=Bioengineering+%26+translational+medicine&rft.au=Wang%2C+Kaidong&rft.au=Tan%2C+Bing&rft.au=Wang%2C+Xinfei&rft.au=Qiu%2C+Shicheng&rft.date=2025-07-01&rft.pub=John+Wiley+%26+Sons%2C+Inc&rft.eissn=2380-6761&rft.volume=10&rft.issue=4&rft_id=info:doi/10.1002%2Fbtm2.70002&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2380-6761&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2380-6761&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2380-6761&client=summon