Artificial Intelligence (AI)

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

On January 25, 2022, Senators Patty Murray and Richard Burr (Chair and Ranking Member of the Senate Health, Education, Labor, and Pensions (HELP) Committee, respectively) released a “discussion draft” of bipartisan legislation—the Prepare for and Respond to Existing Viruses, Emerging New Threats, and Pandemics Act (“PREVENT Pandemics Act”)—which contains notable provisions related to digital health. 

Spurred by the realities of the COVID-19 pandemic, FDA has taken a number of regulatory actions to advance the use of digital health technologies (“DHTs”) in clinical trials.  DHTs provide sponsors with opportunities to capture a broader array of information from study subjects than is typically available through traditional study designs.  This includes information from

As we kick off 2022, several recent developments from FDA suggest that this year could be pivotal for the Agency’s digital health priorities.  From new FDA offices and artificial intelligence guidance, to FDA’s user fee commitments and must-pass legislation in Congress, this post outlines five key issues to watch in 2022 related to FDA and

On 27 October 2021, the U.S. Food and Drug Administration (“FDA”), Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (“MHRA”) (together the “Regulators”) jointly published 10 guiding principles to inform the development of Good Machine Learning Practice (“GMLP”) for medical devices that use artificial intelligence and machine learning (“AI/ML”).

Purpose

AI

The Medicines & Healthcare products Regulatory Agency (“MHRA”) has published a “Consultation on the future regulation of medical devices in the United Kingdom” (the “Consultation”), which will run until 25 November 2021.  The consultation sets out proposed changes to the UK medical device regulatory framework with the aim to “develop

The International Coalition of Medicines Regulatory Authorities (“ICMRA”) has published a report on the use of artificial intelligence (“AI”) to develop medicines (the “AI Report”) that provides a series of recommendations on how regulators and stakeholders can address challenges posed by AI.  The ICMRA notes that there are numerous opportunities to apply AI to medicines development, but that AI poses a number of challenges to existing regulatory frameworks.  The AI Report discusses these opportunities and challenges in detail based on several case studies, and provides a set of recommendations for implementation by the ICMRA and its member authorities, which includes the European Medicines Agency (the “EMA”), the USA’s Food and Drug Administration, and the World Health Organisation.  Based on the AI report, we expect to see an increased focus on adapting regulatory frameworks to deal with AI products going forwards both on an international and national level.

Continue Reading ICMRA Publishes Report and Recommendations on AI and Medicinal Products