Cell biology is fundamentally limited in its ability to collect complete data on cellular
phenotypes and the wide range of responses to perturbation. Areas such as computer vision …

Artificial intelligence (AI) is a machine science that can mimic human behaviour like
intelligent analysis of data. AI functions with specialized algorithms and integrates with deep …

BACKGROUND Liver disease indicates any pathology that can harm or destroy the liver or
prevent it from normal functioning. The global community has recently witnessed an …

Identification of endocrine-disrupting chemicals (EDCs) is crucial in the reduction of human
health risks. However, it is hard to do so because of the complex mechanisms of the EDCs …

The use of artificial intelligence (AI) and machine learning (ML) in pharmaceutical research
and development has to date focused on research: target identification; docking-, fragment …

Pharmacogenomics (PGx) enables personalized treatment for the prediction of drug
response and to avoid adverse drug reactions. Currently, PGx mainly relies on the genetic …

Advances in machine learning (ML) have enabled the development of interatomic potentials
that promise the accuracy of first principles methods and the low-cost, parallel efficiency of …

In drug discovery, targeted polypharmacology, ie, targeting multiple molecular targets with a
single drug, is redefining therapeutic design to address complex diseases. Pre-selected …

Approved drugs for sale must be effective and safe, implying that the drug's advantages
outweigh its known harmful side effects. Side effects (SE) of drugs are one of the common …

A bottleneck in high-throughput functional genomics experiments is identifying the most
important genes and their relevant functions from a list of gene hits. Gene Ontology (GO) …