This startup analyzes epigenetic data to generate personalized health scores, providing insights into an individual's current and future health risks. By tracking epigenetic changes over time, the platform empowers users to make proactive lifestyle adjustments and improve their overall healthspan.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals lack easily accessible and personalized insights into their current and future health risks, hindering proactive lifestyle adjustments for improved healthspan. Traditional health assessments often overlook the dynamic interplay between genetics, epigenetics, lifestyle, and environmental factors.
Solution
EPIX.AI provides a platform that analyzes epigenetic data and lifestyle factors using artificial intelligence to generate a dynamic health score, offering personalized insights into an individual's well-being. By integrating multi-omics data, including genomics, epigenomics, and microbiomics, the platform creates a "Health Twin" to simulate the body's reaction to various health factors. Users receive precise recommendations on how to stay healthy and active, based on their personal health profile. The platform uses a proprietary biological age clock to assess the impact of longevity products and lifestyle choices on biological age and specific health domains.
Target Audience
The primary target audience includes individuals interested in proactive health management, longevity, and personalized insights into their health risks, as well as clinical research organizations.
Features
- Epigenetic analysis from saliva or blood samples to measure biological age and identify risks for age-related diseases
- AI-powered dynamic health score that integrates epigenetic data with lifestyle and environmental factors
- Personalized recommendations for lifestyle adjustments based on individual health profiles
- Integration with wearable devices to track physical activity, sleep patterns, and other health metrics
- Environmental data integration, including air quality and weather conditions, to assess their impact on health
- Disease risk analysis based on epigenetic changes
- Clinically validated with CROs
- Multi-omics approach integrating genomics, transcriptomics, proteomics and microbiomics