The Role of Artificial Intelligence in Drug Discovery and Development

Abstract

Abstract Artificial Intelligence (AI) is an exciting, growing field. Due to the high and growing number of data, the comprehensive evaluation of information behind data makes AI tools indispensable. In Drug Discovery and Development the application of AI has become important to accelerate progress and enhance decision making in many fields and disciplines of medicinal chemistry, upscaling, molecular and cell biology, pharmacology, pharmacokinetics, formulation development and toxicology. In clinical testing AI has high importance in increasing success rates by enhancing trial design (biomarkers, efficacy parameters, dose selection, trial duration), selection of the target patient population, patient stratification and evaluation of patient samples. The increasing relevance of AI in drug discovery and development is reflected by the growing number of start-up companies specialized in this field, the growing number of collaborations from Pharma with AI platforms, and the high number of articles and reviews reporting current applications, their success and limitations.