Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …

Highlights•250 records, including 144 original studies, met the eligibility criteria for inclusion
in this review.•Studies evaluated repurposing mainly for cardiovascular disease, COVID-19 …

The principle behind artificial intelligence is mimicking human intelligence in the way that it
can perform tasks, recognize patterns, or predict outcomes through learning from the …

Abstract The Pharmacogenomics Knowledgebase (PharmGKB) is an integrated online
knowledge resource for the understanding of how genetic variation contributes to variation …

The rapid rise of healthcare social media websites captures a significant amount of
healthcare information, leading to mining medical content for pharmacovigilance …

Heterogeneous biomedical pharmacological databases are important for multiple fields in
bioinformatics. Hetionet is a freely available database combining diverse entities and …

The confidence of an AI predictive model increases with algorithm correction (training). In
radiology, pathology, and dermatology, AI is successfully used for image analysis …

Computational drug repositioning is an efficient approach towards discovering new
indications for existing drugs. In recent years, with the accumulation of online health-related …

Disease signature-based drug repositioning approaches typically first identify a disease
signature from gene expression profiles of disease samples to represent a particular …

Background: Studies pertaining to the epoxidation of fatty acids, garnered much interest in
recent years due to the rising demand of eco-friendly epoxides derived from vegetable oils …