Cancer Systems Biology Lab

Welcome to the Plevritis Lab

Cancer Systems Biology Laboratory (CSBL) views cancer as a complex system whose components can be reverse-engineered for the purposes of understanding the molecular mechanisms of cancer progression and identifying approaches for more effective cancer control strategies. Our current research aims include: (1) reconstructing intra- and inter-cellular communication networks of cancer from genomic, proteomic and imaging data, (2) optimizing combination drug therapy strategies, and (3) quantifying the impact of risk-based screening and molecularly targeted therapeutics on population cancer incidence and mortality rates.  Ultimately, our goal is to develop a multiscale view of cancer progression for improving early detection and treatment strategies for the individual patient. CSBL brings together computer scientists, statisticians, engineers, biological experimentalists and clinical researchers to tackle complex issues related to the biological basis and clinical relevance of our work.  Meet the Team »

Sylvia Plevritis, PhD

Dr. Plevritis is a Professor in the Department of Radiology in the Stanford School of Medicine. Dr. Plevritis holds a PhD in Electrical Engineering (Stanford, 1992) with concentration on MRI spectroscopic imaging of tumors. She also holds an MS in Health Services Research (Stanford, 1996), with concentration on the evaluation of cancer screening programs on reducing cancer mortality.  Dr. Plevritis is the Director of the Stanford Center for Cancer Systems Biology (CCSB), Director of the Cancer Systems Biology Scholars (CSBS) Program, and the co-Section Chief of the Integrative Biomedical Imaging Informatics at Stanford (IBIIS).  

Dr. Plevritis is a Principal Investigator of the Stanford Cancer Intervention Surveillance Network (CISNET), which develops mathematical models of cancer progression and evaluates the effectiveness of mammography and MRI in screening for breast cancer and CT in screening for lung cancer.

Integrative Biomedical Imaging Informatics at Stanford

Center for Cancer Systems Biology

Cancer Systems Biology Scholars Program