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NCI podcast revisits AI in cancer research; leaders urge cautious optimism

National Cancer Institute (NCI) · March 20, 2025

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Summary

On a repeat episode of the National Cancer Institute podcast Inside Cancer Careers, NCI leaders described AI as a rapidly developing tool for cancer research that shows promise but requires continuous monitoring and validation, citing mixed media coverage and excitement at a recent National Academy of Medicine conference.

Inside Cancer Careers, a podcast from the National Cancer Institute, replayed a 2024 episode in which NCI leaders discussed recent developments in artificial intelligence and data science for cancer research.

Host Oliver Vogler framed the episode as a brief update on the field and introduced two guests from the institute. He invited listeners to hear recommendations from the guests about careers in data science and where the field may head next.

Asked what has changed in the past year since a 2023 NCI blog post about fellowship opportunities in data science, Dr. Tony Kurlavage said the public discussion and media coverage of AI have accelerated. "This is a rapidly developing field, and the articles aren't always consistent as to whether AI is a good thing or a bad thing, having tremendous breakthroughs or isn't quite ready for prime time. There's a lot of mixed feelings about AI right now," Kurlavage said, adding that researchers and institutions must monitor AI systems to ensure they keep performing as expected.

Kurlavage also referenced a recent National Academy of Medicine conference, saying participants there were "very excited about AI," an observation he used to underscore both the potential and the need for cautious, ongoing evaluation of AI tools in research and eventual clinical applications.

The episode mixes career guidance for data scientists entering cancer research with broader cautions about deploying AI, emphasizing validation, oversight and the need to align AI work with reproducible science. Vogler also told listeners one of the episode's guests "has since retired," but in the same introduction identified Dr. Tony Kurlavage as director of NCI's Center for Biomedical Informatics and Information Technology; the episode transcript contains that inconsistent framing and does not resolve the discrepancy.

The podcast closes with the hosts and guests inviting listener engagement and follow-up; the episode was presented as a primer on how AI is shaping research priorities and workforce needs at the NCI.