Lifespan Strategists: AI Agents Creating Personalized Plans for Lifespan Extension Through Genomics

This book explores how AI agents analyze genomic data, biomarkers, and lifestyle factors to create individualized longevity plans. Chapters cover polygenic risk scoring, epigenetic clock analysis, and AI-driven supplement and intervention recommendations. You'll learn the architecture of agent systems that continuously update plans based on new health data and how reinforcement learning optimizes longevity protocols over time. Longevity science generates more data than any human can meaningfully synthesize. AI agents that personalize this into actionable plans represent the next frontier in preventive medicine. This book gives you the technical architecture and biological science behind these systems.