Latest AI and machine learning research in genetics for healthcare professionals.
Drug discovery is in constant evolution and major advances have led to the development of in vitro h...
OBJECTIVE: H3K27M mutation in gliomas has prognostic implications. Previous magnetic resonance imagi...
BACKGROUND: Supervised learning from high-throughput sequencing data presents many challenges. For o...
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 ...
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs...
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...
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...