This project-based course delves into the cutting-edge of Generative Artificial Intelligence (AI) and its transformative applications in the healthcare domain. As technology continues to evolve, so does the potential for AI to revolutionize healthcare practices, from diagnostics to personalized treatment plans. Participants will learn about the latest advances in Generative AI, exploring state-of-the-art models and techniques tailored for healthcare challenges. Students will be introduced to Human-Centered Design methodology -- involving empathy and needs finding, prototyping and iteration. Class projects will focus on deployment of Generative AI using datasets such as population biobanks, and training models from these population-scale datasets. Key topics covered include the utilization of Generative AI in medical image synthesis, enhancing diagnostic capabilities, and using genomes and protein language models for variant effect prediction. The course also navigates the ethical considerations surrounding the use of generative models in healthcare, addressing issues of privacy, bias, and interpretability. Through a combination of theoretical insights and hands-on practical sessions, participants will gain a deep understanding of how Generative AI is reshaping the healthcare landscape, and how they could have a positive impact. Guest speakers from venture capital and industry with real-world examples will illustrate successful applications of generative models in medical imaging, drug discovery, and patient care, and discuss the challenges they see in translation from research to implementation.

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