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:
Framework for the Future of AI: Senator Cassidy Issues White Paper, Seeks Public Feedback
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
FDA Releases Discussion Paper on AI in the Drug and Biological Product Development Process
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 &
FDA Seeks Comments on Agency Actions to Advance Use of AI and Digital Health Technologies in Drug Development
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
5 Reasons Digital Solutions for Women+ Health Will Grow in 2023
Innovative digital solutions intended to address health issues typically experienced by women have been an area of increased focus. Ranging from reproductive-related mobile applications to AI-enabled breast cancer screening devices, digital solutions for women+ health show promise to serve an enormous market with medical needs that have often failed to get the level of attention
California AG Probes for Potential Bias in Healthcare Algorithms, Federal Attention Continues
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
3 Takeaways Digital Health Innovators Should Be Watching in the PREVENT Pandemics Act
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.
FDA Webinar Provides New Insights on Use of Digital Health Technologies in Clinical Trials
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
5 Digital Health Issues to Watch at FDA in 2022
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
U.S., UK and Canada Regulators Collaborate to Develop “10 Guiding Principles” for Good Machine Learning Practices (“GMLP”) for Medical Devices
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