TwinCare AI
AMD Developer Hackathon: ACT II — Track 3

Your personal health intelligence platform

Cardiovascular Risk.
Calibrated by AI.

Upload a blood report to construct your clinical digital twin. Calibrate your 10-year cardiovascular risk score, analyze biomarker details under clinical ranges, and consult our advanced reasoning health copilot.

Digital Twin Engine
SHAP Explainability
Gemma 2 Reasoning Copilot

Demo: demo@twincare.ai / demo123

Clinical Health Intake

Complete this brief questionnaire to calibrate your 10-year CVD risk model.

Manual Biomarker Entry (Optional)

If you cannot upload a PDF, enter your blood test values here to generate predictions.

Your digital twin

Good morning

AMD Ryzen™ AI Latency: --ms
Manual Entry

Biomarker snapshot

Glucose

-- mg/dL
Normal: 70-100

Cholesterol

-- mg/dL
Normal: 125-200

Blood pressure

--/-- mmHg
Normal: <120 / <80

10-year CVD risk

--%

-- risk band

Threshold

--

Health score

-- /100

Health copilot

Ask about your latest results

Organ system health

Heart
--
Metabolic
--
Liver
--
Kidney
--

Cholesterol trend

↘ Improving

-- mg/dL  ·  --

Blood Pressure

-- mmHg
Normal Pre-HTN HTN

MAP: -- · PP: --

Fasting Glucose

-- mg/dL

--

HbA1c

-- %

--

BMI

-- kg/m²

--

Heart Rate

-- bpm

--

Risk Impact (SHAP)

How your biomarkers shift CVD risk from the baseline (--%).

Generate a prediction to see risk impact.

Clinical Profile

All 9 model input features

Age--
Sex--
Education--
Smoking--
Cigs/Day--
BP Meds--
Hypertension--
Stroke Hx--
Diabetes--
Doctor's Notes & Prescription--

These 9 clinical features + 8 blood biomarkers = the model's full 17-feature input.

Blood Report

Drop PDF or browse

Blood test reports only

No report uploaded yet.