Latest AI and machine learning research in genetics for healthcare professionals.
RNAs are emerging as promising therapeutic targets, yet identifying small molecules that bind to the...
Bacterial laccases exhibit relatively high optimal reaction temperatures and possess a broad substra...
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predi...
The discovery of molecular relationships from high-dimensional data is a major open problem in bioin...
The widespread adoption of next-generation sequencing technology in molecular pathology has enabled ...
Globally, esophageal cancer stands as a prominent contributor to cancer-related fatalities, distingu...
Hundreds of loci have been robustly associated with obesity-related traits, but functional character...
Accurately labeling large datasets is important for biomedical machine learning yet challenging whil...
OBJECTIVES: While ambulance transport decisions guided by artificial intelligence (AI) could be usef...
The purpose of this study was to investigate the molecular structure of NRG-1 protein and its mechan...
Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-le...
Accurate prediction of complex traits is an important task in quantitative genetics. Genotypes have ...
Predicting RNA structures from sequences with computational approaches is of vital importance in RNA...
The detection and identification of polycyclic aromatic hydrocarbons (PAHs) and their derivatives, p...
Tumor heterogeneity presents a significant challenge in predicting drug responses, especially as mis...
Predicting the unprecedented, nonlinear nature of COVID-19 presents a significant public health chal...
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiol...
Oxidative stress (OS) is a pivotal mechanism driving the progression of cardiovascular diseases, par...
Promoter prediction is essential for analyzing gene structures, understanding regulatory networks, t...
Genomic heterogeneity has largely been overlooked in single-cell replication timing (scRT) studies. ...
Cancer is a global health concern because of a significant mortality rate and a wide range of affect...