A clinical and analytical methodology that utilizes advanced biomarker data, genetic information, and physiological testing to predict an individual’s future health risks and functional decline trajectories, allowing for the implementation of preventative and personalized interventions. This shifts the clinical focus from disease treatment to healthspan extension.
Origin
The term is a modern concept in preventative medicine and health informatics, combining “proactive” intervention with the “modeling” of complex biological systems. It is rooted in the epidemiological analysis of aging and the application of machine learning to longitudinal health data.
Mechanism
Modeling involves establishing baseline metrics for key longevity pathways, such as telomere length, epigenetic age, metabolic health, and hormonal balance, then using predictive algorithms to project future states. The therapeutic mechanism is the continuous, data-driven adjustment of lifestyle, nutrition, and endocrine support to actively steer the individual away from predicted pathological endpoints.
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