The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches - Alarcón-Zendejas, Ana Paula; Scavuzzo, Anna; Jiménez-Ríos, Miguel A.; Álvarez-Gómez, Rosa M.; Montiel-Manríquez, Rogelio; Castro-Hernández, Clementina; Jiménez-Dávila, Miguel A.; Pérez-Montiel, Delia; González-Barrios, Rodrigo; Jiménez-Trejo, Francisco; Arriaga-Canon, Cristian; Herrera, Luis A. (Prostate cancer and prostatic diseases, 2022)
Keywords: 45/23; 45/77; 631/67/589/466; 692/53/2422; Artificial Intelligence; Biomarkers; Biomarkers, Tumor - analysis; Biomarkers, Tumor - genetics; Biomedical and Life Sciences; Biomedicine; Cancer Research; Carcinogenesis; Carcinogens; Decision making; Deep learning; Diagnosis; Gene sequencing; Genes; Genomes; Genomic analysis; Genomics; Humans; Learning algorithms; Machine learning; Male; MicroRNAs; miRNA; Non-coding RNA; Nucleotide sequence; Patients; Precision medicine; Prognosis; Prostate cancer; Prostate-Specific Antigen; Prostatic Neoplasms - diagnosis; Prostatic Neoplasms - genetics; Prostatic Neoplasms - pathology; Quality of Life; Reproductive Medicine; Review; Review Article; Search engines; Serum levels; Transcriptomes; Transcriptomics; Whole genome sequencing