The scale of genetic, epigenomic, transcriptomic, cheminformatic and proteomic data
available today, coupled with easy-to-use machine learning (ML) toolkits, has propelled the …

The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

The application of artificial intelligence (AI) to chemistry has grown tremendously in recent
years. In this Review, we studied the growth and distribution of AI-related chemistry …

The innovation of biotechnologies has allowed the accumulation of omics data at an
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …

Metabolomics deals with the whole ensemble of metabolites (the metabolome). As one of
the‐omic sciences, it relates to biology, physiology, pathology and medicine; but metabolites …

The pandemic of COVID-19 is continuously spreading, becoming a worldwide emergency.
Early and fast identification of subjects with a current or past infection must be achieved to …

Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression
of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural …

Untargeted metabolomic analysis using mass spectrometry provides comprehensive
metabolic profiling, but its medical application faces challenges of complex data processing …

Metabolomics research has recently gained popularity because it enables the study of
biological traits at the biochemical level and, as a result, can directly reveal what occurs in a …