The Health-Data Moat: Rights, Retention and the Cost of Useful Evidence
A framework for evaluating health-data rights, retention, collection costs and external performance without mistaking dataset size for defensibility.
LongevityNext Intelligence
Datasets, aging models, and the evidence behind longevity-platform claims.
A framework for evaluating health-data rights, retention, collection costs and external performance without mistaking dataset size for defensibility.
A current-evidence framework separating digital-twin forecasts, aging measures and AI-enabled drug discovery from clinical utility and platform claims.
When repeated measurements strengthen aging-biomarker evidence—and how assay noise, missing follow-up and endpoint limits constrain interpretation.