Artificial Intelligence in Drug Discovery and Development: Challenges and Recommendations

Table of Contents
Cover Articles
July 2021
by Stephanie Pasas-Farmer, Ph.D., and Rashi Jain

Every few decades, there is a major technological revolution that takes over the world and brings about significant changes and advances in the way we operate and perform. Artificial intelligence (AI) was born in the 1950s and 1960s and has finally rooted itself and intends to significantly transform the world around us, including the pharmaceutical industry. In drug discovery and development, AI and machine learning (ML) systems are being used to identify new drug targets, repurposing known compounds, predict toxicity before clinical trials, improve clinical trial design, and select and recruit patients, among others.¹