Latest AI and machine learning research in genetics for healthcare professionals.
Predicting the properties of tissues or organisms from the genomics data is widely accepted by the m...
BACKGROUND: Renal fibrosis is a critical factor in chronic kidney disease progression, with limited ...
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...
BACKGROUND: Dysregulation or abnormality of the programmed cell death (PCD) pathway is closely relat...
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 growth of glioma is frequently accompanied by a hypoxic microenvironment. Nevertheless, the clin...
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...
PURPOSE: The aim of this work is to compare different machine learning models for predicting patholo...
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...
The purpose of this study was to investigate the molecular structure of NRG-1 protein and its mechan...
Identifying interactions between candidate antibodies and target antigens is a key step in developin...