The unrelenting pressure on medical practice in the U.S. has sparked some innovations, but a legislative innovation is now in the works that would fundamentally shift how at least some drugs are prescribed. The Healthy Technology Act of 2025 (H.R. 238) would allow AI and machine learning algorithms to write prescriptions for pharmaceuticals, although the lack of co-sponsors for H.R. 238 suggests that this bill is not ready for prime time just yet.
Martin Makary, President Donald Trump’s pick to head the U.S. FDA, took his turn before the Senate Health, Education, Labor and Pensions (HELP) Committee March 6, a week ahead of the committee’s confirmation votes on both him and Jay Bhattacharya as the next NIH director. The committee votes will set the stage for the full Senate to vote on confirming both nominees later this month.
Nick Decker, directory of global regulatory policy for Roch Holding AG’s Roche Diagnostics division, said the FDA is moving carefully into the PCCP space, and industry, too, is taking a measured approach in adopting the PCCP concept.
A panel at Biocom California’s 15th Annual Global Life Science Partnering & Investor Conference covered the emerging use of artificial intelligence (AI) to discover and develop drugs. “We’re in a very different place than we were five years ago, or even three years ago, even two years ago, from our ability to harness AI to make advances,” Marc Tessier-Lavigne, CEO of South San Francisco-based Xaira Therapeutics Inc., told the audience, adding that the development is actually accelerating.
Researchers from Weill Cornell University filed for protection of discoveries made from investigations into the mechanisms underlying depression, which revealed that a specific brain network is significantly larger in individuals affected by depression.
A new version of Evo, the AI developed at the Arc Institute that can be used to design genomes as long as that of a bacterium, has been retrained with the DNA sequences of three domains of life – viruses, bacteria and eukaryotes.
The first patenting from Theta Neurotech Inc. sees the company’s co-founders describe their development of a wearable earpiece that uses an electroencephalography technology and machine learning algorithms to alert epilepsy patients 30 to 60 minutes before they have a seizure.
Harrison.ai raised AU$179 million (US$112 million) in a series C round to expand its radiology and pathology solutions across the U.S., Europe, the Middle East, Africa and Asia Pacific.
Harrison.ai raised AU$179 million (US$112 million) in a series C round to expand its radiology and pathology solutions across the U.S., Europe, the Middle East, Africa and Asia Pacific.
The European Commission’s proposal for an AI-specific liability law seemed destined to pile onto existing EU liability law, but the commission reported it will pull the legislative proposal dubbed the AI Liability Directive.