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Podcast: State Taxation of Digital Health Products
Jones Day Talks Health Care & Life Sciences: What Digital Health Innovators Should Know about the FDA Approval Process
Further to the guiding principles on the use of artificial intelligence (AI) and machine learning (ML) technologies jointly published by the U.S. Food and Drug Administration (FDA), Health Canada, and the United Kingdom’s...more
The American Conference Institute hosted its inaugural Life Sciences AI Summit in New York on February 21 and 22. The two-day conference brought together key stakeholders, including regulatory players such as FDA and the...more
On March 30, the U.S. Food and Drug Administration (FDA) published draft guidance that proposes recommendations on the types of information that should be included in a Predetermined Change Control Plan (PCCP) in a marketing...more
On April 3, 2023, the US Food and Drug Administration (FDA) published its draft guidance, Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence/Machine Learning...more
On March 2, 2022, FDA hosted a public Device Good Manufacturing Practice Advisory Committee meeting, where the Committee discussed the proposed rule titled "Medical Devices: Quality System Regulation Amendments."...more
On November 3, 2021 the FDA issued draft guidance titled “Content of Premarket Submissions for Device Software Functions.” The final version will eventually replace the FDA’s “Guidance for the Content of Premarket Submissions...more
On November 3, 2021, the U.S. Food and Drug Administration (FDA) issued the draft guidance, Content of Premarket Submissions for Device Software Functions, a significant publication that has the potential to impact a variety...more
On October 27, 2021, the U.S. Food and Drug Administration (FDA), Health Canada and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA) issued a set of ten guiding principles meant to aid the...more
On October 27, 2021, pursuant to the Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device Action Plan (Action Plan), the US Food and Drug Administration (FDA) released its Good Machine Learning...more
Key Points - FDA will publish draft guidance on its Predetermined Change Control Plan in 2021 and host a public workshop on transparency requirements around AI/ML-based devices. - FDA plans to pilot Real-World Performance...more
On January 12, the U.S. Food and Drug Administration’s Center for Devices and Radiological Health (CDRH) Digital Health Center of Excellence released its new five-part “Artificial Intelligence/Machine Learning (AI/ML)-Based...more
The U.S. Food and Drug Administration (FDA) is showing its dedication to the advancement of digital health technology with two recent announcements: a new Digital Health Center of Excellence and an update on its Software...more
We are pleased to provide you with the third annual installment of our Life Sciences and Health Care Horizons guide. For each of these guides, we have asked our industry thought leaders throughout the world to write about...more
On September 27, 2019, FDA issued a new draft guidance on Clinical Decision Support Software, supplanting its 2017 draft guidance, Clinical and Patient Decision Support Software. ...more
Avoid Potential Pitfalls When Incorporating Third-Party Software into Wearable Products - The global market for wearable devices continues to expand rapidly. Digital health companies that manufacture and sell their own...more
Last week, the FDA published a discussion paper outlining a proposed regulatory framework for artificial intelligence/machine learning software as a medical device (AI/ML SaMD)....more
On 20 November the Food and Drug Administration (FDA) published a request for comments on a proposed framework for regulating the output of digital health applications disseminated by or on behalf of drug manufacturers with...more
On June 4, 2018, the U.S. Food and Drug Administration (FDA or the Agency) issued a proposed order to reclassify certain software that analyzes medical imaging from class III (premarket approval) devices to class II (subject...more