Machine learning in healthcare and life sciences enhances drug discovery, diagnostics, patient care, and compliance using AWS SageMaker, AI-driven analytics, and secure cloud environments. Best practices include data encryption, model interpretability, traceability, and automated monitoring to ensure regulatory compliance with FDA’s GxP standards. ML models must be auditable, reproducible, and continuously monitored to maintain accuracy and fairness. AWS enables scalable, secure ML pipelines, accelerating genomic research, personalized medicine, and AI-powered diagnostics, while addressing data privacy, governance, and compliance challenges in a highly regulated industry.

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