AI, Radiomics, Pathomics, and Deep Learning: Implications for Precision Oncology
Join Emory University’s Dr. Anant Madabhushi as he discusses the Center for Computational Imaging and Personalized Diagnostics’ (CCIPD’s) development work on new radiomic and pathomic approaches for capturing intra-tumoral heterogeneity and modeling tumor appearance. This approach predicts disease outcome, recurrence, progression, and response to therapy in the context of prostate, brain, rectal, oropharyngeal, and lung cancers.
The CCIPD at Case Western Reserve University has been developing tools for connecting diverse biological data that spans different scales, modalities, and functionalities. These tools include methods for removing attributes for characterizing disease appearance/behavior on radiographic (radiomics) and digitized pathology images (pathomics).
The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.
Dr. Madabhushi is a professor of biomedical engineering and on faculty in the Departments of Pathology, Biomedical Informatics, and Radiology and Imaging Sciences at Emory University. He is also a research health scientist at the Atlanta Veterans Administration Medical Center. Dr. Madabhushi has authored more than 450 peer-reviewed publications and more than 100 patents either issued or pending in the areas of artificial intelligence, radiomics, medical image analysis, computer-aided diagnosis, and computer vision.
Upcoming Events
- Social Determinants of Health with Large/Moderate Language Models on EHR Data: AI in Immuno-oncologyJuly 30, 2024CCDI Federated Data: Enhancing Data DiscoverabilityAugust 13, 2024Leveraging High-Performance Computing Resources and Using QIIME 2 to Advance Your Microbiome ProjectsAugust 27, 2024 - August 29, 2024NCI Office of Data Sharing’s Annual Data Sharing Symposium: Driving Cancer Advances Through Impactful ResearchOctober 16, 2024The Cancer Research Data Commons 2024 Fall Symposium: Ten Years of Empowering Cancer ResearchersOctober 16, 2024 - October 17, 2024