Morning Briefing
Summaries of health policy coverage from major news organizations
FDA Leans Into AI Models As Replacement For Animal Testing
The Food and Drug Administration (FDA) announced Thursday it plans to phase out animal testing requirements for biological products and drugs, instead moving toward alternative testing models such as computer simulations and 鈥渙rganoids.鈥 The agency said in a release that its animal testing requirements would be 鈥渞educed, refined, or potentially replaced using a range of approaches,鈥 including 鈥淎I-based computational models of toxicity鈥 and cell lines. (Choi, 4/10)
scientists in the United States worry that the Trump administration鈥檚 deep cuts to research funding and the federal workforce will compel an early end to their work, as well as a needless sacrifice of the animals that enable it. 鈥淢y great fear is that millions of animals are going to be sacrificed because they can鈥檛 be cared for,鈥 said Paul Locke, a professor at Johns Hopkins University鈥檚 Bloomberg School of Public Health with experience in laboratory animal law. (Somasundaram, 4/11)
More on the use of AI 鈥
Mayo Clinic hired former federal government聽official聽Micky Tripathi聽for a role focused on artificial intelligence. Tripathi, the former assistant secretary for technology policy at the Health and Human Services Department, is joining Mayo Clinic as its chief AI implementation officer, a spokesperson for the Rochester, Minnesota-based health system聽said in a statement Thursday. Mayo didn't specify when Tripathi would start. (Turner, 4/10)
Google is creating more ways to help its healthcare customers build and deploy artificial intelligence agents. On Wednesday, Google鈥檚 cloud arm introduced a host of new AI tools and capabilities for its enterprise customers in healthcare and other sectors. The developments primarily focus聽on AI agents, which are specialized tools developed to help organizations perform time-intensive functions more efficiently. (Perna, 4/9)
Researchers at the University of Wisconsin School of Medicine and Public Health used artificial intelligence to screen the electronic health records of patients admitted to the UW Health University Hospital in Madison, Wisconsin, between March and October 2023, for any sign that they were at risk of or had an opioid use disorder. The AI model would constantly scan intake notes health care providers added to a hospitalized patient鈥檚 record for the first 24 hours of their hospital stay looking for clues. (Paun and Reader, 4/10)
In other pharma and tech updates 鈥
A group of academics is arguing that countries seeking access to a groundbreaking HIV prevention drug from Gilead Sciences should issue compulsory licenses if the company fails to modify an existing licensing program with half a dozen generic makers. (Silverman, 4/10)
Scientists have re-created a pain pathway in the brain by growing four key clusters of human nerve cells in a dish. This laboratory model could be used to help explain certain pain syndromes, and offer a new way to test potential analgesic drugs, a Stanford team reports in the journal Nature. (Hamilton, 4/10)
A new smartphone-sized device can deliver tuberculosis (TB) test results at the point of care in less than an hour, an innovation that could improve diagnosis of the deadly disease in settings in which access to healthcare facilities and lab equipment is limited, its Tulane University developers聽reported yesterday in Science Translational Medicine. Over 90% of new TB cases occur in low- and middle-income countries.聽(Van Beusekom, 4/10)
Providers are finding more affordable ways to聽keep up with the rising demand for MRI exams. As the population ages and more people are diagnosed with chronic diseases, hospitals聽are seeing an uptick in patients who need MRI exams. But instead of building out new suites, some providers聽are renting and buying mobile MRI units to cut down on聽construction costs.聽Medtech companies such as聽Siemens Healthineers, Philips and GE HealthCare聽sell movable MRIs that can fit inside trailers and scan patients being treated for everything from knee cartilage problems to cancer. (Dubinsky, 4/10)