The Future of AI and Cancer Research

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

YOUR TURN RECOMMENDATIONS Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants by Robin Wall Kimmerer Golf Beneath the Surface: The New Science of Golf Psychology by Raymond Prior, Ph.D. The Diamond Age Or A Young Lady's Illustrated Primer by Neal Stephenson

CENTER FOR CANCER TRAINING (CCT) Inside Cancer Careers Podcast CCT Website

LEARN MORE FROM THE NATIONAL CANCER INSTITUTE Online 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