🌟 Inspiration

I am a trained physician, with over 20 years of clinical practice, and I have been directly confronted with two major realities:

  1. The lack of healthcare professionals, both in developed and underdeveloped countries, faced with growing demand.
  2. The explosion of chronic diseases (diabetes, hypertension, NASH, cardiovascular diseases…) which often evolve silently and are only detected at an advanced stage — or worse, after complications have already appeared.

Despite the proliferation of connected devices and isolated AI tools, prevention and regular follow-up remain difficult for most patients, especially outside of hospital structures.

👉 I personally faced a chronic illness: it was thanks to an AI-based solution that I was able to ensure personalized, regular follow-up… until I returned to normal health.

That’s when I realized:
Everyone should have access to a digital twin of their body, to monitor, understand, and improve their health — in a simple, educational, and continuous way.

This is how BioTwin360 was born – a modular, accessible, and interactive platform that allows:

  • Patients to be educated and supported in preventing chronic illnesses
  • Medical students to train through immersive, visual modules
  • Clinicians and researchers to simulate clinical scenarios and therapeutic options

Our vision: to merge AI, medical knowledge, and 3D web technology to build a universal health simulator — intuitive, educational, and truly useful for all.

🔬 What it does

BioTwin360 is a web-based AI health platform that lets users:

  • Input health metrics (e.g., age, blood pressure, glucose)
  • Generate predictive health scores** for organs like the heart, liver, brain, kidneys
  • Explore organs in 3D** (zoom, rotate, focus)
  • Receive personalized AI-based recommendations**
  • Export reports** in PDF for self-tracking or clinical use

Each organ is a self-contained AI + UX module, allowing us to scale the platform organ-by-organ.

🧰 How we built it

  • Frontend: React + TypeScript + Tailwind
  • 3D Rendering: Three.js & React Three Fiber for anatomical organ visualization
  • State Management: Zustand
  • AI: Logistic regression & rule-based simulations embedded client-side (JS/TS), with ONNX.js support
  • Design: Figma prototypes by our UI/UX designer
  • Deployment: Vercel (frontend), local-only storage for privacy (no backend needed)
  • Collaboration: Fully remote team via Discord, Notion, and GitHub

🧱 Challenges we ran into

  • 🧠 Balancing realistic organ visualization with browser performance
  • 🤝 Integrating multiple contributors (ML, medical, frontend, design) within tight timeframes
  • 🛡️ Designing an architecture that works offline, without storing personal data, while remaining interactive
  • 📚 Translating complex medical concepts into simple logic without oversimplifying

🏆 Accomplishments that we're proud of

  • Delivered a working multi-organ prototype with interactive 3D + AI scoring
  • Built a modular system ready to scale to more organs and use cases
  • Created a truly educational, privacy-first health simulator that works in any browser
  • Assembled an amazing, diverse and mission-driven team across countries and disciplines

📚 What we learned

  • How to design AI tools that are interpretable, local, and ethical
  • How to combine UX, education, and medicine into one coherent interface
  • The power of visual storytelling and 3D rendering for health understanding
  • That building a working AI health twin in under 2 weeks is possible with the right vision and team!

🚀 What's next for BioTwin360 – AI-Powered Multi-Organ Digital Twin

  • 📦 Launch a public freemium version with core modules (Heart, Liver, Brain, Kidneys)
  • 🧠 Train and integrate more advanced AI models (with clinical validation and open data)
  • 🧩 Release a plugin & protocol marketplace for researchers and institutions
  • 🎓 Deploy an education mode for medical schools and health literacy
  • 💡 Explore partnerships with public health orgs, universities, and patient groups

BioTwin360 is just getting started. The future of preventive health is personal, visual, and intelligent.

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