Precision medicine is rapidly evolving through the integration of generative artificial intelligence (AI), which enables highly personalized treatments by analyzing and synthesizing complex genetic, clinical, and multi-omics data. Generative AI models like GANs and VAEs facilitate drug response prediction, biomarker discovery, and patient-specific therapy optimization, overcoming challenges of data scarcity and privacy. Despite hurdles in model interpretability and bias, these AI-driven approaches promise to revolutionize healthcare by delivering tailored, effective interventions for individual patients.

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