BIDS Senior Fellow and LBNL Staff Scientist Daniela Ushizima participated in this panel discussion on Precision Imaging for Prediction at the 2019 Precision Medicine World Conference (PMWC) in Silicon Valley. Panel chair Andrew H. Beck (PathAI) and Lizzie Dorfman (Google AI) will also participate.
Session Synopsis: Imaging plays pivotal roles in the diagnosis, pathology staging, treatment response assessment, and the prognosis of many cancers. It is a crucial part of precision patient care and advancing at a rapid pace with innovative developments in imaging sciences, algorithm development, and an improved understanding of the complex biology of cancer. This session focus of how precision imaging may assist with optimal clinical decision-making and outcomes prediction.
Dani Ushizima is a data scientist at BIDS, where she leads the Center for Recognition and Inspection of Cells (CRIC), where her research focuses on imaging cancer cells for early-stage disease diagnosis; and she is also a staff scientist at Berkeley Lab, where she leads the U.S. Department of Energy Early Career Research Project on Image across Domains, Algorithms and Learning (IDEAL). With 20 years of research and development experience in Computer Vision, Dani has focused primarily on quantitative microscopy and microstructure classification, from materials science to biomedical imaging.