Advancing health care via artificial intelligence: From concept to clinic.

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Abstract

Ever Since, pharmaceutical companies are facing challenges to develop new drug products faster and economical with good quality, safety and efficacy. The advent of Artificial intelligence (AI) with computational technology empowers scientists, impacts society at a great scale by developing new drugs at rapid pace. Artificial intelligence is the science and engineering of creating intelligent machines using personified knowledge. There are many opportunities to apply AI tools to the drug discovery pipeline. Examples include target identification, identification of biomarkers, molecular modelling, synthesis of molecules, predicting toxicity and picking up leads. Further, this technology also helps the clinical scientists in clinical trial design, execution and real-time analysis. Altogether it facilitates the process of drug discovery, development and also provides better therapy to the patients. Apart from drug discovery and development, AI also has applications in the area of diagnosis, drug delivery, patient adherence and better monitoring of safety. There are many instances where AI can perform tasks better than humans and aid healthcare providers in treating patients. In this article, we have provided discussion on how AI is advancing the health care field to achieve greater success.Copyright © 2022. Published by Elsevier B.V.