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Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms

by Vu, David M., Krystosik, Amy R., Ndenga, Bryson A., Mutuku, Francis M., Ripp, Kelsey, Liu, Elizabeth, Bosire, Carren M., Heath, Claire, Chebii, Philip, Maina, Priscilla Watiri, Jembe, Zainab, Malumbo, Said Lipi, Amugongo, Jael Sagina, Ronga, Charles, Okuta, Victoria, Mutai, Noah, Makenzi, Nzaro G., Litunda, Kennedy A., Mukoko, Dunstan, King, Charles H., LaBeaud, A. Desiree
Published in PLOS global public health (26.07.2023)

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Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV

by Torgersen, Jessie, Akers, Scott, Huo, Yuankai, Terry, James G., Carr, J. Jeffrey, Ruutiainen, Alexander T., Skanderson, Melissa, Levin, Woody, Lim, Joseph K., Taddei, Tamar H., So‐Armah, Kaku, Bhattacharya, Debika, Rentsch, Christopher T., Shen, Li, Carr, Rotonya, Shinohara, Russell T., McClain, Michele, Freiberg, Matthew, Justice, Amy C., Lo Re, Vincent
Published in Pharmacoepidemiology and drug safety (01.10.2023)

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Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm

by Hasanin, Tawfiq, Kshirsagar, Pravin, Manoharan, Hariprasath, Sengar, Sandeep, Selvarajan, Shitharth, Satapathy, Suresh
Published in Diagnostics (Basel) (01.11.2022)

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DDPM: A Dengue Disease Prediction and Diagnosis Model Using Sentiment Analysis and Machine Learning Algorithms

by Gupta, Gaurav, Khan, Shakir, Guleria, Vandana, Almjally, Abrar, Alabduallah, Bayan Ibrahimm, Siddiqui, Tamanna, Albahlal, Bader M., Alajlan, Saad Abdullah, AL-subaie, Mashael
Published in Diagnostics (Basel) (01.03.2023)

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Deep learning of HIV field-based rapid tests

by Turbé, Valérian, Herbst, Carina, Mngomezulu, Thobeka, Meshkinfamfard, Sepehr, Dlamini, Nondumiso, Mhlongo, Thembani, Smit, Theresa, Cherepanova, Valeriia, Shimada, Koki, Budd, Jobie, Arsenov, Nestor, Gray, Steven, Pillay, Deenan, Herbst, Kobus, Shahmanesh, Maryam, McKendry, Rachel A.
Published in Nature medicine (01.07.2021)

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A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types

by Chen, Hao, Chen, Fanxuan, Wang, Yijun, Cai, Enna, Pan, Wangzheng, Li, Yichen, Mo, Zefei, Lou, Hao, Ren, Chufan, Dai, Chenyue, Shan, Xingbo, Ye, Hui, Xu, Zhenwei, Dong, Pu, Zhou, Han, Xu, Shuya, Zhu, Tianye, Su, Mingzhi, Miao, Xingguo, Hu, Xiaoqu, Hong, Liang, Wang, Yi, Su, Feifei
Published in Journal of cellular and molecular medicine (01.03.2025)

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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection

by Tusher, Ekramul Haque, Ismail, Mohd Arfian, Akib, Abdullah, Gabralla, Lubna A., Ibrahim, Ashraf Osman, Som, Hafizan Mat, Remli, Muhammad Akmal
Published in PloS one (26.06.2025)

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A Review on a Deep Learning Perspective in Brain Cancer Classification

by Tandel, Gopal S., Biswas, Mainak, Kakde, Omprakash G., Tiwari, Ashish, Suri, Harman S., Turk, Monica, Laird, John, Asare, Christopher, Ankrah, Annabel A., Khanna, N. N., Madhusudhan, B. K., Saba, Luca, Suri, Jasjit S.
Published in Cancers (18.01.2019)

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Benchmarking predictions of MHC class I restricted T cell epitopes in a comprehensively studied model system

by Paul, Sinu, Croft, Nathan P., Purcell, Anthony W., Tscharke, David C., Sette, Alessandro, Nielsen, Morten, Peters, Bjoern
Published in PLoS computational biology (26.05.2020)

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Quantitative ultrasound, elastography, and machine learning for assessment of steatosis, inflammation, and fibrosis in chronic liver disease

by Destrempes, François, Gesnik, Marc, Chayer, Boris, Roy-Cardinal, Marie-Hélène, Olivié, Damien, Giard, Jeanne-Marie, Sebastiani, Giada, Nguyen, Bich N., Cloutier, Guy, Tang, An
Published in PloS one (27.01.2022)

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Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning

by Huang, Sheng-Wen, Tsai, Huey-Pin, Hung, Su-Jhen, Ko, Wen-Chien, Wang, Jen-Ren
Published in PLoS neglected tropical diseases (01.12.2020)

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Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

by Liu, Peiru, Sun, Ying, Zhao, Xinzhuo, Yan, Ying
Published in Biomedical engineering online (01.11.2023)

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Rapid Detection of SARS-CoV‑2 Variants Using an Angiotensin-Converting Enzyme 2‑Based Surface-Enhanced Raman Spectroscopy Sensor Enhanced by CoVari Deep Learning Algorithms

by Yang, Yanjun, Cui, Jiaheng, Luo, Dan, Murray, Jackelyn, Chen, Xianyan, Hülck, Sebastian, Tripp, Ralph A., Zhao, Yiping
Published in ACS sensors (28.06.2024)

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Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy

by Jacob Khoury, Shadi, Zoabi, Yazeed, Scheinowitz, Mickey, Shomron, Noam
Published in Viruses (01.12.2024)

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Multiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms

by Yang, Yanjun, Cui, Jiaheng, Kumar, Amit, Luo, Dan, Murray, Jackelyn, Jones, Les, Chen, Xianyan, Hülck, Sebastian, Tripp, Ralph A., Zhao, Yiping
Published in ACS sensors (28.02.2025)

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Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

by Hussain, Lal, Nguyen, Tony, Li, Haifang, Abbasi, Adeel A., Lone, Kashif J., Zhao, Zirun, Zaib, Mahnoor, Chen, Anne, Duong, Tim Q.
Published in Biomedical engineering online (25.11.2020)

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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics

by Pei, Jinghong, Yu, Jing, Ge, Ping, Bao, Liman, Pang, Haowen, Zhang, Huaiwen
Published in Technology in cancer research & treatment (01.01.2024)

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A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images

by Rasheed, Jawad, Hameed, Alaa Ali, Djeddi, Chawki, Jamil, Akhtar, Al-Turjman, Fadi
Published in Interdisciplinary sciences : computational life sciences (01.03.2021)

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A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods

by Yin, Rui, Zhu, Xianghe, Zeng, Min, Wu, Pengfei, Li, Min, Kwoh, Chee Keong
Published in Briefings in bioinformatics (20.09.2022)

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Fast Viral Diagnostics: FTIR-Based Identification, Strain-Typing, and Structural Characterization of SARS-CoV‑2

by Lahiri, Pooja, Das, Souvik, Thakur, Shivani, Mehra, Rukmankesh, Ranjan, Piyush, Wig, Naveet, Dar, Lalit, Bhattacharyya, Tarun Kanti, Sengupta, Sanghamitra, Lahiri, Basudev
Published in Analytical chemistry (Washington) (17.09.2024)

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