Predict and prevent drift before disease

Our Mission

Homeostasis—the body's physiological balance—can begin to falter while routine lab values remain normal. Our mission is to help people anticipate this drift and take informed early action.

Panoromics is developing PALHR™ (Pre-disease Allostatic Load Health Risk), an AI platform designed to forecast next-year adverse change in normal-range physiological traits using a questionnaire, body measures and routine labs.

Our initial intervention approach is Traditional Chinese Medicine (TCM). We aim to connect predicted drift patterns with evidence-graded, safety-screened options, supported by expert-panel approval and clinician review. Their effects on drift will require separate testing.

Predict → Guide → Monitor. Follow-up measurements will update predictions and intervention plans. PALHR is in development; pilot entry will depend on independent prediction validation and acceptance of the corresponding intervention mappings.

In development

PALHR is designed to provide next-year drift forecasts, evidence-graded TCM guidance and repeat assessments, using routine inputs. Our initial focus is health-conscious adults and preventive-care practitioners.

Our approach

Models will be trained in UK Biobank and independently validated in the Framingham Heart Study. Intervention mappings will undergo expert review, with safety screening and abstention when evidence is insufficient.

Our development priorities

Independent validation of trait-specific predictions
Evidence-graded intervention mapping and safety screening
Expert oversight and clinician review
Repeat assessments to update predictions and plans