"Just as there have been remarkable advances in weather forecasting with the use of large language models, so will there be for determining an individual's risk of the major age-related diseases (cancer, cardiovascular, and neurodegenerative). These diseases share common threads, such as a long incubation phase before any symptoms are manifest, usually two decades or more. They also have the same biologic underpinnings of immunosenescence and inflammaging, terms that characterize an immune system that has lost some of its functionality"
"In aggregate, this provides an unprecedented depth of information about the person's health status, enabling a forecast for risk of the three major diseases. Unlike a polygenic risk score which can detect a person's risk for heart disease, the common cancers and Alzheimer's, precision medical forecasting takes it to a new level by providing the projected temporal arc-the "when" factor. When all of the data is analyzed with large reasoning models, it can provide a person's vulnerabilities, and an individualized, aggressive preventive program."
Precision medical forecasting will begin in 2026 by combining biological aging metrics, imaging, and AI to predict individualized risk and timing of major age-related diseases. Age-related diseases share long incubation periods and common mechanisms including immunosenescence and inflammaging. Organ clocks, protein biomarkers, and AI interpretation of medical images reveal accelerated organ aging and unseen disease signals. Aggregating EMR data, genetics, wearable sensors, and environmental exposure provides unprecedented depth to forecast disease trajectories. Precision medical forecasting surpasses polygenic risk scores by projecting the temporal arc—the 'when'—and can identify vulnerabilities to support individualized, aggressive preventive programs.
Read at WIRED
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