In this episode of Inside Cancer Careers, Dr. Tony Kerlavage and Jeff Schilling discuss the role of AI in cancer research and the challenges and safety measures associated with its use. They emphasize the need for standardized data and the importance of addressing biases in AI models. They also discuss the recruitment of talent in data science and the potential for partnerships with Silicon Valley. They highlight the complexity of AI and the need for continuous learning in the field. The episode concludes with advice for aspiring data scientists.

SHOW NOTES

Tony Kerlavage, Ph.D.

Jeff Shilling, M.S.

Center for Biomedical Informatics and Information Technology (CBIIT)

Cancer Data Science Blog: Growing the Field - NCI Fellowship Opportunities in Data Science

National Academy of Medicine: Generative AI & LLMs in Health & Medicine Conference

ChatGPT

GovCIO Healthcast Podcast: 50 Years of Cancer: Tech's Role in Fighting Cancer

ARPA-H

Episode 8: Computation to Improve Therapy & Finances with Dr. Peng Jiang

AD: NCI Cancer AI Conversations Seminar Series

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LEARN MORE FROM THE NATIONAL CANCER INSTITUTE

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By Phone: 1-800-4-CANCER (1-800-422-6237)

U.S. Department of Health and Human Services

National Institutes of Health

National Cancer Institute

Episode ID: 1000700079932

GUID: 9811d367-e723-4db9-b8ba-4a34bda4ed02

Release Date: 20/03/2025, 13:30:00