The NHS has issued guidance on effective data partnerships, this blog summarises key terms for parties looking to collaborate on data driven projects with the NHS.
Continue Reading NHS Data Partnerships Guide – unlocking the benefits of data partnerships
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
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
The UK has reaffirmed its commitment to leading the way in regulatory innovation in software as a medical device (“SaMD”) and artificial intelligence as a medical device (“AIaMD”). On 17 October 2022, the UK Medicines & Healthcare products Regulatory Agency (“MHRA”) published its Guidance on “Software and AI as a Medical Device Change Programme
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
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