The Union of AI and Drug Discovery and Development Requires New Thinking for Structuring and Negotiating Strategic Transactions, and a Rigorous Analysis of Applicable Regulatory Considerations
The use of artificial intelligence and machine learning (AI/ML) in drug discovery and development is well established and here to stay. With AI tools developing the potential to impact virtually every stage of the life sciences product life cycle, the FDA continues to refine its framework for the use of AI to support regulatory decision-making. On April 7, the FDA ended its consultation period on two draft guidance documents, one containing recommendations on the use of AI to support FDA regulatory decision-making and another providing a “comprehensive approach” to the management of risk throughout the total product life cycle of AI-enabled devices. We also saw, in January of this year, the U.S. administration issue the Executive Order Removing Barriers to American Leadership in Artificial Intelligence. These developments, and potential developments, need to be carefully taken into account by life sciences companies that are considering transacting with an AI/ML tool provider.