Best Practices for Artificial Intelligence in Life Sciences Research

Recently, artificial intelligence (AI) and machine learning (ML) technologies in the biotechnology and pharmaceutical industries moved beyond experiments conducted by a few dedicated specialists and entered the industry mainstream. With this transition comes the need to formalize and publish the lessons learned by early adopters. These lessons are not limited to the technology of AI, but rather are the best ways to apply AI methods in a business environment. In medicine, such lessons are already being recorded; however, these recommendations are extremely specific to medical practice and not broadly applicable to drug discovery and biotech. This paper is an attempt to close that gap.