Background The lack of interoperability between health information systems reduces the
quality of care provided to patients and wastes resources. Accordingly, there is an urgent …

In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges
as a transformative force, bridging the realms of biology and technology. This paper …

Evaluating pharmacokinetic properties of small molecules is considered a key feature in
most drug development and high-throughput screening processes. Generally …

Artificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive
abilities and to address difficult healthcare challenges including complex biological …

Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare
sector, including drug delivery and development. This review explores the current and future …

Artificial intelligence (AI) has been transforming the practice of drug discovery in the past
decade. Various AI techniques have been used in many drug discovery applications, such …

Recent advances in microfluidics-based point-of-care testing (POCT) technology such as
paper, array, and beads have shown promising results for diagnosing various infectious …

The accurate modeling and prediction of small molecule properties and bioactivities depend
on the critical choice of molecular representation. Decades of informatics-driven research …

New chemical entities (NCEs) such as small molecules and antibody–drug conjugates have
strong binding affinity for biological targets, which provide deep insights into structure …

Within drug discovery, the goal of AI scientists and cheminformaticians is to help identify
molecular starting points that will develop into safe and efficacious drugs while reducing …