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.
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