Healthy Choices
AI-Powered Health & Longevity Platform
What if AI didn't just tell you what to do about your health — but actually taught you how your body works?
26
Health Categories
9
Body Systems Analyzed
71
Data Fields Extracted
90%+
Extraction Accuracy
<2s
AI Processing Time
35+
PubMed Citations
Key Features
The most comprehensive personal health AI available.
26 Health Categories
The most comprehensive health tracking available — from nutrition and sleep to blood pressure, cholesterol, and mental health.
Biological Age Across 9 Body Systems
Calculate your biological age for cardiovascular, metabolic, musculoskeletal, neurological, immune, respiratory, digestive, endocrine, and integumentary systems.
3 AI Analysis Agents
Dedicated AI agents for Activity, Sleep, and Nutrition that explain the biological mechanisms behind their recommendations.
6 Input Methods
Voice, camera, barcode scanner, file upload, manual entry, and Apple HealthKit/Google Fit integration.
AI Data Extraction
90%+ accuracy extracting nutrition data from photos, voice descriptions, and documents — across 71 data fields.
What-If Simulator
See how lifestyle changes would affect your health metrics before making them — experiential learning through biological feedback.
Medical Condition Detection
Auto-detects 8 medical conditions from lab results with appropriate clinical context and recommendations.
Evidence-Based
35+ peer-reviewed PubMed citations backing every recommendation. Transparent AI that explains its reasoning.
Stanford-Validated Approach
Healthy Choices is built using insights from the Stanford Genetics Department AI & Longevity Certificate program. The biological age calculations and ageotype identification are informed by Stanford iPOP (Integrative Personal Omics Profiling) research led by Professor Michael Snyder.
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