HARNESSING THE POWER OF DATA IN CANCER RESEARCH
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Latest from CBIIT
Jim Lacey, Ph.D., M.P.H., shares the lessons he learned in transitioning a large cancer epidemiology cohort study to the cloud, including the importance of focusing on people and processes as well as technology.
The Cancer Data Science Pulse Blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities.
Mrs. Aya Abdelsalam Ismail, Ph.D. candidate at the University of Maryland, will give an overview of neural networks interpretability focusing on how time series is different from other domains, including visual and textual data in terms of model interpretability.
The Data Science Seminar Series features talks from innovators in the data science and cancer research communities both within and outside of the National Cancer Institute (NCI).