Latest AI and machine learning research in genetics for healthcare professionals.
Hepatocellular carcinoma (HCC) is a common malignant tumor in China. In the present study, we aimed ...
The artificial neural network (ANN) is a sort of machine learning method which has been used in dete...
This article considers implementation of artificial neural networks (ANNs) using molecular computing...
c-Met is a promising target in cancer therapy for its intrinsic oncogenic properties. However, there...
Early detection of breast cancer and its correct stage determination are important for prognosis and...
The intricate details of how proteins bind to proteins, DNA, and RNAÂ are crucial for the understandi...
Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-com...
DNA methylation of various genomic regions has been found to be associated with gene expression in d...
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuab...
IBD is a complex multifactorial inflammatory disease of the gut driven by extrinsic and intrinsic fa...
Researches on the microbiome have been actively conducted worldwide and the results have shown human...
The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optim...
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical ...
Antiretroviral therapy (ART) initiation is associated with decreases in bone mineral density (BMD)....
Phosphocreatine (PCr) plays a vital role in neuron and myocyte energy homeostasis. Currently, there ...
BACKGROUND: Next-generation sequencing enables massively parallel processing, allowing lower cost th...
Over a decade ago, the formation of neutrophil extracellular traps (NETs) was described as a novel m...
BACKGROUND: Genome-wide association studies (GWAS) provide a powerful means to identify associations...
Recently, deep reinforcement learning, associated with medical big data generated and collected from...
DNA methylation-based machine learning algorithms represent powerful diagnostic tools that are curre...
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures deri...