Alex Dekhtyar, Ph.D.; Vadim Kagan, M.S.; Sarah Keadle, Ph.D., M.S., M.P.H.; Jorge J. Nieva, M.D.; and Luciano Nocera, Ph.D.
Join NCI’s Division of Cancer Control and Population Sciences for a discussion about software tools that study particular types of images and output data that are suited for influencing cancer prevention and control.
Zachary Dorman; Jaime Guidry Auvil, Ph.D.; and Freddie L. Pruitt III, Ph.D.
Join the NCI Office of Data Sharing for a discussion on best practices for NCI data sets, a demo of the Index of NCI Studies, and an update on new NIH security guidelines going into effect January 25, 2025.
Li Ding, Ph.D.; Shannon Hughes, Ph.D.; and Ken Lau, Ph.D.
Leaders from NCI’s HTAN will discuss the collaborative efforts to create comprehensive cancer atlases that encompass cellular, molecular, and histological aspects across different cancer types and stages.
Discover how advances in fairness artificial intelligence (AI) can revolutionize patient data analysis and limit disparities in immunotherapy. This webinar the final part of the 2024 SITC-NCI Computational Immuno-oncology Webinar Series, which focuses on the application of AI in immuno-oncology.
In this NIH Data Sharing and Reuse Seminar, learn how the Childhood Cancer Data Initiative’s National Childhood Cancer Registry is reshaping childhood cancer research through collaborations, diverse data integration, and accessibility for researchers.
Hear CBIIT’s Dr. Jill Barnholtz-Sloan discuss the role of artificial intelligence in personalized medicine and collaborate with other healthcare stakeholders on solutions to the challenges facing healthcare systems in the southeast region of the United States.
Jayashree Kalpathy-Cramer, Ph.D.; Peter Mattson, Ph.D.; and Lanjing Zhang, M.D.
Join experts as they discuss the complexities of benchmarking artificial intelligence (AI) performance and ensuring fairness in model outcomes. This event is part of the Cancer AI Conversations bimonthly webinar series.
Find training resources, opportunities to collaborate, advice from NCI data science experts, and ways to network and engage with the cancer data science community on our NCI Cancer Data Science page!
