Precision Imaging for Prediction

2019 Precision Medicine World Conference (PMWC)


January 21, 2019
3:30pm to 4:15pm
Santa Clara, CA


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.



Daniela Ushizima

Staff Scientist, Applied Mathematics and Computational Research Division, Berkeley Lab

BIDS Faculty Affiliate Dani Ushizima is a Staff Scientist in the Machine Learning and Analytics Group in the Computational Research Division at Berkeley Lab, where she leads the Image Processing/Machine Vision team at CAMERA, and an Affiliate Faculty of the Bakar Computational Health Sciences Institute (BCHSI) at the University of California, San Francisco. She also leads the Center for Recognition and Inspection of Cells (CRIC), where her research focuses on imaging cancer cells for early-stage disease diagnosis. 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.