The Cancer Letter
The United States has a translation problem. Scientific breakthroughs in oncology are accelerating, but clinical trial infrastructure hasn’t kept pace. The solution: Speed up clinical trial enrollment by using AI to reduce costs and eliminate bureaucratic red tape. Tasks that ordinarily require hours of manual work for each patient in a single study can now be completed for 100,000 patients in a matter of minutes. “If we really do have this problem of translating science to people because of the lack of resourcing and efficiency on the clinical trial side, then I don’t view innovation outside the U.S. as a bad thing. I actually think it’s a great thing, and it’s great for people who are getting access to these clinical trials,” Karen Knudsen, CEO of the Parker Institute for Cancer Immunotherapy, said on the July episode of The Directors. For years, U.S.-based pharma and biotechnology companies have been offshoring clinical trials to manage labor costs, avoid regulatory burdens, and gain access to larger patient populations that can make recruitment easier. In this episode of The Directors, Knudsen and Kent Thoelke, CEO of Paradigm Health, a technology company focused on using AI to enhance clinical trials, discuss the factors that are bottlenecking translation in the U.S. and the promising role of AI in modernizing the U.S. clinical trial infrastructure. A transcript is available at https://cancerletter.com/podcastc/20260717_1/ [https://cancerletter.com/podcastc/20260717_1/]
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