Explore quantum machine learning algorithms and their applications in medical school research during this 1-hour 5-minute presentation. Delve into the technical transition of executing quantum algorithms on GPUs used in academia and industry. Learn how classical data is embedded into quantum states, incorporate trainable quantum parameters, and examine architectures addressing technological limitations. Discover the application of these algorithms to various medical datasets, drawing insights from current AI developments at Stanford Medicine, UCSF-UC Berkeley's Computational Precision Health program, and UCLA Health. Gain understanding of the potential impact on clinical trials, personalized medicine, and patient care, while considering FDA regulations and safety concerns surrounding AI in healthcare.