Our Platform

1

Predict physiological drift

In development: next-year forecasts of adverse change in normal-range traits, using a questionnaire, body measures and routine labs.

2

Explain the forecast

Trait-specific percentile scores and uncertainty ranges will help explain predicted drift, with clear evidence and performance limits.

3

Guide early action

Predicted drift patterns will map to evidence-graded Traditional Chinese Medicine (TCM) options aimed at reinforcing homeostasis.

4

Review for safety

Expert-approved mappings, safety screening and clinician review will guide reports, with abstention when evidence is insufficient.

5

Monitor and reassess

Follow-up measurements will update predictions and intervention plans, allowing clients and practitioners to reassess the predicted course.

6

Develop and validate

PALHR is in development. Models will undergo independent validation before pilot entry; intervention effects on drift require separate testing.