Dr. Peter Ganz is the Chief of Cardiology at the Zuckerberg San Francisco General Hospital and Maurice Eliaser Distinguished Professor at UCSF. Dr. Ganz has been a pioneer in translational cardiovascular research. He was the first to publish on vascular endothelial function in health and its dysfunction in atherosclerosis in humans (N Engl J Med 1986; 315:1046-1051). Currently, Dr. Ganz is making important discoveries in the field of proteomics, using modified aptamers as binding reagents to quantify proteins in blood (JAMA 2016;315:2532-2541). Relevant to his presentation, he is improving assessment of drug safety through proteomics (https://doi.org/10.1161/CIRCULATIONAHA.117.028213). Dr. Ganz received his M.D. from Harvard, completed his residency at the Massachusetts General Hospital and cardiovascular fellowship at the Brigham and Women’s Hospital. He spent 25 years directing cardiovascular research in the cardiac catheterization laboratories at the Brigham and Women’s Hospital and Harvard Medical School, prior to arriving to UCSF in 2008.
This session will be discussing recent findings that demonstrate that large-scale measurement of proteins in a single blood test coupled with machine learning can provide important information about our health and can help predict a range of different diseases and risk factors, including the risk for developing type 2 diabetes and cardiovascular disease.