Latest AI and machine learning research in genetics for healthcare professionals.
A key enzyme in human immunodeficiency virus type 1 (HIV-1) life cycle, integrase (IN) aids the inte...
Aiming at the problem of poor prediction performance of rolling bearing remaining useful life (RUL) ...
BACKGROUND: Studies have shown that RNA secondary structure, a planar structure formed by paired bas...
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection a...
Drug resistance threatens many critical therapeutics through mutations in the drug target. The molec...
The reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted standard for coro...
BACKGROUND AND OBJECTIVE: Eltrombopag is the first oral, small-molecule, non-peptide thrombopoietin ...
Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluabl...
This paper presents a framework for automated optimization of double-heater convective PCR (DH-cPCR)...
High-throughput B-cell sequencing has opened up new avenues for investigating complex mechanisms und...
Epigenetic targets are of significant importance in drug discovery research, as demonstrated by the ...
PURPOSE: Several multi-omics classifications have been proposed for hepato-pancreato-biliary (HPB) c...
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs...
This study is focused on applying genetic algorithms (GAs) to model and band selection in hyperspect...
The aim of this study was to discover potent angiotensin-converting enzyme (ACE) inhibitory (ACEI) p...
The prediction of human externally visible characteristics (EVCs) based solely on DNA information ha...
Small molecules play a critical role in modulating biological systems. Knowledge of chemical-protein...
Mutational effects predictions continue to improve in accuracy as advanced artificial intelligence (...
The increasing scope of genetic testing allowed by next-generation sequencing (NGS) dramatically inc...
Gradient Forests (GF) is a machine learning algorithm that is gaining in popularity for studying the...
This study addresses the core issue facing a surgical team during breast cancer surgery: quantitativ...