Latest AI and machine learning research in genetics for healthcare professionals.
INTRODUCTION: The SARS-CoV-2 pandemic provided critical insights into pandemic preparedness. The com...
The role of micro-nanoplastics (MNPs) in the elevated risk of papillary thyroid carcinoma (PTC) obse...
Non-small cell lung cancer (NSCLC) contains rare cancer stem cells (CSCs) that contribute to relapse...
OBJECTIVE: This study systematically analyzed the expression profiles of exosome-associated genes in...
Cell-free DNA (cfDNA) in plasma provides attractive opportunities for early cancer diagnosis. This s...
The short metabolic half-life of conventional tobacco biomarkers often limits their ability to refle...
BACKGROUND: Intervertebral disc degeneration (IVDD) is a prominent etiology of lower back pain. Type...
Dietary strategies are increasingly recognized as important modulators of breast cancer outcomes, ac...
OBJECTIVE: The presence of anti-citrullinated protein antibodies (ACPAs) in the absence of clinical ...
RNA-binding proteins (RBPs) orchestrate post-transcriptional processes, including splicing, cleavage...
INTRODUCTION: Type 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin res...
Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and ...
In embodied artificial intelligence (AI), evolutionary search enables adaptation in complex and unce...
OBJECTIVES: Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease caused by MEF...
Gliomas are the most common type of primary brain tumors. Their management options and outcomes depe...
CONTEXT: Accurate preoperative prediction of occult lymph node metastasis (OLNM) in clinically lymph...
Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormo...
BACKGROUND: Renal fibrosis (RFib) is a final common pathway in chronic kidney disease (CKD) progress...
Trained immunity is defined as the epigenetic and metabolic reprogramming of innate immune cells, co...
Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein...
OBJECTIVE: To benchmark the pathogenicity predictions of AlphaMissense, a deep learning model, again...