Latest AI and machine learning research in genetics for healthcare professionals.
Accurate computational determination of RNA-protein interactions remains challenging, particularly w...
OBJECTIVE: BRAF is the most common mutation found in thyroid cancer and is particularly associated w...
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...
In the emerging field of RNA drugs, circular RNA (circRNA) has attracted much attention as a novel m...
Machine learning (ML) is changing the world of computational protein design, with data-driven method...
One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-c...
OBJECTIVES: While ambulance transport decisions guided by artificial intelligence (AI) could be usef...
Identifying interactions between candidate antibodies and target antigens is a key step in developin...
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...
The prediction of circular RNA (circRNA)-drug associations plays a crucial role in understanding dis...
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...