AI-driven health intelligence

Your biology is a system. We model the whole thing.

Most telehealth platforms treat symptoms in isolation. HARP's AI Whole Person Model synthesizes your labs, hormones, lifestyle, and treatment response into a single, continuously updated health picture — so every prescription reflects your complete biology, not just one data point.

AI neural network visualization representing HARP whole person health modeling
Model accuracy
94.7%
protocol adherence correlation
Data points ingested
60+
per patient model
Physician review
100%
of prescriptions
How it works

From raw data to clinical insight.

01

Comprehensive intake

You complete a detailed health history, symptom inventory, and lifestyle assessment. This becomes the foundation of your model.

02

Biomarker ingestion

Your lab results — hormones, metabolic markers, inflammation, nutrients — are ingested and mapped against clinical reference ranges and population norms.

03

Pattern recognition

Our AI identifies patterns across your data that a single-point review would miss — correlating, for example, low ferritin with fatigue, poor sleep, and suboptimal thyroid conversion.

04

Physician review

A HARP physician reviews the AI-generated insights before any prescription is written. The model informs — the physician decides.

05

Protocol generation

Your treatment protocol is generated from the full model — not a template. Dosing, timing, and stacking decisions reflect your specific biology.

06

Continuous refinement

As you report outcomes and submit follow-up labs, the model updates. Your protocol evolves with your biology — not on a fixed schedule.

What goes in

60+ data points. One coherent picture.

Biomarkers

  • Full hormone panel (testosterone, estradiol, DHEA-S, cortisol, thyroid)
  • Metabolic markers (glucose, insulin, HbA1c, lipids)
  • Inflammation (hsCRP, homocysteine, IL-6)
  • Nutrient status (D3, B12, ferritin, magnesium, omega-3 index)

Lifestyle signals

  • Sleep quality and duration (wearable or self-reported)
  • Exercise type, frequency, and recovery
  • Dietary patterns and fasting habits
  • Stress load and HRV trends

Treatment response

  • Symptom tracking across 40+ domains
  • Side effect reporting and tolerance signals
  • Dose-response patterns over time
  • Comparative efficacy across protocol variants
What you get

Insights your annual physical never gave you.

Personalized
Protocol

Every treatment recommendation is derived from your model — not a population average or a standard starting dose.

Continuous
Refinement

Your model updates with every lab result, symptom report, and treatment cycle. Your protocol improves over time.

Physician
Supervised

AI surfaces the patterns. A licensed physician interprets them and signs every prescription. Always.

Proactive
Flagging

The model flags emerging patterns — declining ferritin, rising cortisol, suboptimal thyroid conversion — before they become symptoms.

Why it matters

The difference between data and understanding.

A standard telehealth platform asks you a few questions and routes you to a physician who prescribes from a limited menu. The prescription is based on your chief complaint — not your biology.

HARP's AI Whole Person Model changes the starting point. Before a physician writes a single prescription, they have a synthesized view of your hormones, metabolism, inflammation, sleep, stress, and treatment history — all in one place, with patterns already identified.

The result is a protocol that fits you — not a protocol that fits most people who look like you on paper.

Standard telehealth
Chief complaint
Single data point
HARP model
Full biology
60+ data points
Standard protocol
Population avg
Template-based
HARP protocol
Your biology
Model-derived

See what your model reveals.

Start with a comprehensive blood panel and intake assessment. Your model is built before your first physician consultation.