Mind Network Docs
  • 🧠 What is Mind Network
  • Background
    • 🔐 HTTPZ
  • 🚀 Challenges and Solutions
  • Research
    • 📚 FHE Research
      • FHE 101
      • FHE Validation
      • FHE Consensus
      • FHE Chain
      • FHE Transaction
      • FHE Scheme
      • FHE Data
  • Product
    • 🛠️ Product Overview
    • 🌐 AgenticWorld 🔥
      • AgenticWorld User Guide
        • DeepSeek Hub
        • Agent Launch @ Mainnet
        • Agent Launch @ Testnet
      • Rewards Rule
      • Revenue and Payment
      • Bridge
    • ⛓️ MindChain
      • MindChain Developer Guide
    • 🌉 FHEBridge
      • FHEBridge Guide - Transfer
      • FHEBridge Guide - Bridge
      • FHEBridge Guide - Manage
    • MINDV (Ended)
      • MindV User Guide (Ended)
      • vFHE Explanation (Ended)
  • Usecase
    • DeepSeek Integrates FHE Rust SDK
    • MindX - Encrypted LLM
    • AI Agents Framework: ElizaOS and Virtuals
    • Multi-Agents: Swarms Shield Hub
    • World AI Health Hub
    • Fair Randomness in Decentralized Systems
    • FHE+TEE: Security in Decentralized AI Governance
    • Decentralized GPU Computation
    • MindLake - FHE Encrypted DataLake
  • Data Encryption
  • Crosschain Infra
  • Storage Secruity
  • Governance
    • $FHE
    • Tokenomics
    • Get $FHE
  • Community
    • 🪪 CitizenZ
    • 🎙️ FHECon
    • 🎤 X On My Mind
  • Deverloper Guide
    • Developer Overview
    • Hub Tutorial
      • SDK For Hub Framework
      • Validator Tutorial - Randgen Hub Voter as the example
  • Consensus Tutorial
  • Security and Privacy
    • Audit - FHEBridge
    • Audit - Restake
    • Multi-Sig & Timelock
    • Mind Network Terms of Service
    • Mind Network Privacy Policy
    • Mind Network Airdrop Terms of Service
    • Mind Network Airdrop Privacy Policy
  • Other
    • Airdrop User Guide
    • Early-bird Rewards
    • FAQ
    • Official Links
    • Brandkit
Powered by GitBook
On this page
  • Mind Network x Zama x InfStones
  • FHE-Powered Privacy Solution and Impact
  • Conclusion

Was this helpful?

  1. Usecase

World AI Health Hub

PreviousMulti-Agents: Swarms Shield HubNextFair Randomness in Decentralized Systems

Last updated 1 month ago

Was this helpful?

The rapid growth of AI in healthcare has introduced significant privacy and security risks related to sensitive medical data processing. Traditional AI models require access to raw patient data for training and analysis, exposing personal health records to potential breaches, unauthorized access, and regulatory non-compliance. As AI-driven medical research expands, ensuring data confidentiality while maintaining AI efficiency is a critical challenge.

Mind Network x Zama x InfStones

Zama is an open-source cryptography company building state-of-the-art FHE solutions to protect privacy in blockchain and AI. InfStones is an enterprise-grade Platform as a Service (PaaS) provider.

They have successfully run over 27,000 nodes on Aethir and over 10,000 nodes on CARV, making them the largest Node-as-a-Service (NaaS) provider in the market.

To tackle this issue, Mind Network, Zama, and InfStones have partnered to create World AI Health Hub, a privacy-first, decentralized AI-driven healthcare platform.

  1. Mind Network contributes Fully Homomorphic Encryption (FHE) technology, ensuring end-to-end encryption for medical data processing.

  2. Zama provides FHE co-processors for privacy-preserving AI computation.

  3. InfStones offers decentralized infrastructure to ensure scalable, secure medical data processing across AI-driven systems.

FHE-Powered Privacy Solution and Impact

The World AI Health Hub integrates FHE-based computation into AI-driven healthcare, enabling encrypted machine learning on medical data without exposing sensitive information. This revolutionary approach ensures:

  • Privacy-first AI research: AI models can analyze encrypted health data without decrypting it.

  • Secure collaboration in medical research: Hospitals, AI labs, and researchers can share insights without compromising patient data.

  • Regulatory compliance: Meets strict data privacy standards such as GDPR and HIPAA, accelerating AI adoption in healthcare.

Conclusion

By eliminating the need to expose raw patient data, this next-generation AI health infrastructure paves the way for trustworthy AI-driven medical breakthroughs, balancing innovation, privacy, and security.

Learn more:

https://mindnetwork.medium.com/zama-and-infstones-pioneer-privacy-first-world-ai-health-hub-359e6246806a