Interventional pharmacology is one of medicine's most potent weapons against disease.
These drugs, however, can result in damaging side effects and must be closely monitored …

The accumulation of massive data in the plethora of Cheminformatics databases has made
the role of big data and artificial intelligence (AI) indispensable in drug design. This has …

Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

The current global pandemic COVID-19 caused by the SARS-CoV-2 virus has already
inflicted insurmountable damage both to the human lives and global economy. There is an …

Highlights•Artificial intelligence (AI) and real-world data (RWD) are increasing used in drug
development.•Adverse event detection, trial recruitment, and drug repurposing are the most …

Cancer is a set of complex pathologies that has been recognized as a major public health
problem worldwide for decades. A myriad of therapeutic strategies is indeed available …

Drug repurposing is a vital function in pharmaceutical fields and has gained popularity in
recent years in both the pharmaceutical industry and research community. It refers to the …

Objective Observational medical databases, such as electronic health records and
insurance claims, track the healthcare trajectory of millions of individuals. These databases …

Background and aim Objectives are to explore recent advances in discovery of new
antidiabetic agents using repurposing strategies and to discuss modern technologies used …

Drug repurposing, or repositioning, is to identify new uses for existing drugs. Significantly
reducing the costs and time-to-market of a medication, drug repurposing has been an …