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Economic impact of biomarker-based aging interventions on healthcare costs and individual value

Published: March 26, 2025 | arXiv ID: 2503.20357v1

By: Federico Felizzi

Potential Business Impact:

Slows aging, saves money, and adds healthy years.

Business Areas:
Quantified Self Biotechnology, Data and Analytics

We investigate the economic impact of controlling the pace of aging through biomarker monitoring and targeted interventions. Using the DunedinPACE epigenetic clock as a measure of biological aging rate, we model how different intervention scenarios affect frailty trajectories and their subsequent influence on healthcare costs, lifespan, and health quality. Our model demonstrates that controlling DunedinPACE from age 50 onwards can reduce frailty prevalence, resulting in cumulative healthcare savings of up to CHF 131,608 per person over 40 years in our most optimistic scenario. From an individual perspective, the willingness to pay for such interventions reaches CHF 6.7 million when accounting for both extended lifespan and improved health quality. These findings suggest substantial economic value in technologies that can monitor and modify biological aging rates, providing evidence for both healthcare systems and consumer-focused business models in longevity medicine.

Page Count
24 pages

Category
Quantitative Biology:
Quantitative Methods