Artificial Intelligence (AI)

On April 30, 2024, the UK Medicines and Healthcare products Regulatory Agency (“MHRA”) outlined its strategic approach (“Approach”) to artificial intelligence (“AI”).  The Approach is a response to the UK Government’s white paper: a pro-innovation approach to AI regulation and subsequent Secretary of State letter of 1 February 2024, and is the culmination of 12 months’ work by the MHRA to ensure the risks of AI are appropriately balanced with the potential transformative impact of AI in healthcare.

AI in Healthcare

AI has the potential to revolutionize the healthcare sector and improve health outcomes at every stage of healthcare provision – from preventative care through to diagnosis and treatment.  AI can help in research and development by strengthening outcomes of clinical trials, as well as being used to improve the clinical care of patients by personalizing care, improving diagnosis and treatment, enhancing the delivery of care and health system efficiency, and supplementing healthcare professionals’ knowledge, skills and competencies. Continue Reading MHRA Outlines New Strategic Approach to Artificial Intelligence

On April 22, 2024, the European Federation of Pharmaceutical Industries and Associations (“EFPIA”) issued a statement on the application of the AI Act in the medicinal product lifecycle. The EFPIA statement highlights that AI applications are likely to play an increasing role in the development and manufacture of medicines.  As drug development is already governed by a longstanding and detailed EU regulatory framework, EFPIA stresses that care should be taken to ensure that any rules on the use of AI are fit-for-purpose, adequately tailored, risk-based, and do not duplicate existing rules.  The statement sets forth five “considerations”:Continue Reading EFPIA Issues Statement on Application of the AI Act in the Medicinal Product Lifecycle

On March 15, 2024, FDA’s medical product centers – CBER, CDER, and CDRH – along with the Office of Combination Products (OCP) published a paper outlining their key areas of focus for the development and use of artificial intelligence (AI) across the medical product life cycle.  The paper, entitled “Artificial Intelligence & Medical Products:

Earlier today, the White House issued a Fact Sheet summarizing its Executive Order on a comprehensive strategy to support the development of safe and secure artificial intelligence (“AI”).  The Executive Order follows a number of actions by the Biden Administration on AI, including its Blueprint for an AI Bill of Rights and voluntary commitments from

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 &

On March 23, 2023, FDA released a Framework for the use of digital health technologies in drug and biological product development (the “DHT Framework”).  This DHT Framework is on the heels of a Discussion Paper the Agency released earlier this month on the use of artificial intelligence (AI) in drug manufacturing to seek public input

Last week, Jeremy Hunt, Chancellor of the Exchequer, published his Spring Budget for the UK.  It identified life sciences and digital technologies as “high growth sectors,” which the UK Government wishes to prioritize.  Among other things, the Budget outlined the Government’s plans to simplify medicines and technology approvals, plus changes to the regulation

Digital health technologies, including algorithms for use in health care, are being developed to aid healthcare providers and serve patients, from use with administrative tasks and workflow to diagnostic and decision support.  The use of artificial intelligence (“AI”) and machine learning algorithms in health care holds great promise, with the ability to help streamline care