This involves using computational analysis of longitudinal physiological and hormonal data to forecast an individual’s likely future health trajectory and identify critical windows for pre-emptive intervention. It projects biological risk.
Origin
The discipline merges advanced epidemiological modeling with systems biology, aiming to quantify future risk based on current internal functional status.
Mechanism
Modeling incorporates variables such as baseline endocrine function, epigenetic drift markers, and genetic susceptibilities to generate probabilistic outcomes regarding the onset of age-related physiological decline.
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