Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine

About this Class

In this webinar, University of Wisconsin-Madison’s Dr. Tiwari shares how she and her laboratory have created machine learning (ML) techniques to better understand the basic biology of tumors through non-invasive imaging, histopathology, and omics data.

• Discover how she and her team use this research to predict disease outcome, recurrence, progression, and therapy response (with a particular emphasis on brain tumors).
• Learn about ongoing efforts to design new image-based features for evaluating post-treatment outcomes and forecasting chemo-radiation treatment responses.
• Hear about the clinical implications of the ML techniques (in terms of translation).

Presenter:

Dr. Tiwari is a visiting associate professor in the radiology and biomedical engineering departments at the University of Wisconsin-Madison. She is also an assistant professor of biomedical engineering and the director of the Brain Image Computing Laboratory at Case Western Reserve University.