Dr. Mona Flores, is a board-certified Cardiac Surgeon with an MD from Oregon Health and Sciences University. After a General Surgery Residency at the University of California in San Diego, a Research Fellowship at Stanford, a Cardiothoracic Residency and a Left Ventricular Assist Device Super Fellowship at Columbia University in NY, she began her surgical career in private practice before transitioning into Academic Surgery. Mona’s varied background includes an MBA from SUNY Albany in NY, and a three- year stint as a Financial Analyst for Smith Barney in NY. Immediately prior to joining NVIDIA to head up the Healthcare Start-up Practice, she was the founding Chief Medical Officer of Human Resolution Technologies, a digital health startup focusing on improving outcomes following surgery. Mona was recently promoted to lead Clinical Partnerships Globally at NVIDIA and is a strong believer in AI’s transformative power in medicine.
Machine learning is revolutionizing the potential of imaging for precision medicine. To realize that potential, we need not only expand rigorous ML research, but also solve several big-picture challenges in this emerging field. This panel will feature experts from research and industry to briefly highlight several use cases and then discuss bigger challenges such as data security and sharing, models for federated development of machine learning solutions, and the need for shared platforms and tools.