Personalized Prevention for All: Changing How We Approach The Future of Prevention

Abstract Advances in genomics, informatics, and artificial intelligence (AI) are reshaping preventive medicine by enabling risk-stratified, personalized approaches to disease prevention. This paper argues for a systemic transformation in US health care policy to support equitable access to personalized prevention. We critique the inefficiencies of current age-based screening paradigms and highlight the potential of integrating polygenic risk scores, multi-omic data, and AI-driven analytics to optimize preventive strategies. However, without concurrent innovation in financing models, these advances risk exacerbating existing health disparities. Drawing on lessons from the rare disease community, we propose policy solutions, including expanded, equitably funded health savings accounts, transparent pricing, and patient-centered decision-support tools, to democratize access to personalized prevention. We advocate for a health care ecosystem that aligns technological innovation with flexible, patient-directed funding mechanisms, enabling all persons, not just the well-resourced, to benefit from precision prevention. The Human Genome Project promised to unlock the complete genetic blueprint of humans to revolutionize medicine through personalized care, disease prevention, and new biotechnologies. Realizing this goal requires coordinated action across science, policy, and payment systems to ensure that personalized prevention becomes a standard, equitable component of modern health care.