Food, Drug, and Device

On March 11, 2023, the UK Government published its response (“Government Response”) to an independent review on equity in medical devices commissioned by the Department of Health and Social Care (“Review”).  The Government Response is not guidance nor policy rather it is intended to act as an action plan for tackling potential bias in the design and use of medical devices.  The Government Response fully accepts, and in turn makes a series of commitments in response to, the findings of the Review (which is broken down into 18 recommendations, 51 sub-recommendations, and 3 further calls to action).  Importantly, the Government “wholeheartedly agrees…that medical technology should be unbiased and equitable.” 

Bias in the medical device space, and within healthcare more broadly is (quite rightly) a topic of growing importance to governments, regulators and industry alike.  We set out some key points of interest from both the Review and the Government Response below.  We look forward to seeing more developments and guidance in this area going forwards given its significance to patients and the delivery of healthcare.  Continue Reading UK Government Outlines New Action to Tackle Biases in Medical Devices

On September 6, Senator Bill Cassidy (R-LA), the Ranking Member of the U.S. Senate Health, Education, Labor and Pensions (HELP) Committee, issued a white paper about the oversight and legislative role of Congress related to the deployment of artificial intelligence (AI) in areas under the HELP Committee’s jurisdiction, including health and life sciences.  In the

Hot on the heels of recent announcements from the U.S. Food and Drug Administration (see our prior blogs here), the European Medicines Agency (“EMA”) has joined the conversation on the use of Artificial Intelligence (“AI”) and Machine Learning (“ML”) technologies in the medicinal product lifecycle.

AI and ML have the potential to enhance every

Last week, the U.S. Food & Drug Administration (“FDA” or the “Agency”) issued a second discussion paper on the use of artificial intelligence (“AI”) and machine learning (“ML”) with respect to drug and biological products, this time focusing on the use of AI/ML in the drug and biologic development process, “Using Artificial Intelligence &