Modern healthcare systems focus mainly on treating diseases after they appear, rather than preventing them or addressing their root causes such as Aging. Meanwhile, the amount of Genomic data and real-time health signals from wearables is exploding, yet there is no unified system to analyze this data, extract insights, and provide personalized longevity guidance to users and healthcare providers.
Approach
We built Asklepios, an AI-powered holistic care assistant that combines:
1. Advanced genomics analysis to detect biological aging markers and predispositions
2. IoT health monitoring for real-time tracking of sleep, heart rate, oxygen, steps, and more
3. Affective Computing (Empathy AI) for emotional support, mental well-being monitoring, and behavioral guidance
4. A symptom checker powered by LLM to provide preliminary condition insights and connect users to their doctors
The platform creates a personalized longevity profile for each user, calculates their biological age, and delivers tailored nutrition, fitness, and lifestyle plans. It also includes an admin panel for hospitals and clinics, enabling healthcare teams to track patients, manage care plans, and optimize operations with AI-driven tools.