Generative AI in Personalized Medicine: Advances and Challenges

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This lecture delves into the integration of AI in healthcare, specifically focusing on genomics and drug discovery. Using the PRISMA framework and assessing biases with PROBAST, we reviewed 549 studies, selecting 27 that utilized Generative AI models like GANs and VAEs. These models have applications in drug response and patient stratification. We address challenges such as data scarcity and bias, and discuss the potential for AI to revolutionize personalized medicine. Future recommendations...