Dream Team Projects

Enabling early cancer detection with lower costs and improved sensitivity from non-invasive genome-wide liquid biopsy tests through novel deep learning analytics and improved chemistry

Assistant Professor of Medicine (Oncology) and of Genetics
Assistant Professor of Genetics and of Computer Science
Associate Professor of Medicine (Oncology) and of Health Research and Policy at the Stanford University Medical Center
Professor of Medicine (Oncology) at the Stanford University Medical Center
Professor of Surgery (General Surgery) at the Stanford University Medical Center
Professor of Pathology at the Stanford University Medical Center

Aim

Develop a novel cfDNA sequencing technology and deep learning analytical framework that achieves state-of-the-art accuracy in distinguishing normal versus pathologic states and tissue-of-origin from clinical samples.

Overarching Objective

A scalable and robust non-invasive assay to detect cancer early, when it is most curable.