GeneSci
  • Introduction
    • 📚Background
    • 📖Introduction：Empowering Genetic Data
    • 🔖Vision and mission
  • How GeneSci Works
    • 🖥️How GeneSci Works？
      • AI-Powered Genetic Insights
        • Personalized Health Recommendations
        • Disease Risk Prediction
        • Medication Compatibility
      • NFT-Based Ownership and Data Control
        • Genetic Data Tokenization with NFTs
        • Decentralized Data Storage
        • Control Over Data Sharing
        • Continuous Updates and Ownership
      • Seamless Collaboration with Researchers
        • Secure and Controlled Data Sharing
        • Monetization and Rewards for Data Contribution
        • Real-Time Collaboration and Feedback
    • 🔑Key Advantages
    • 🖱️GeneSci: Process and Rewards System
      • AI Analysis & Report Generation
      • NFT Marketplace
      • Research Collaboration
      • Rewards System
  • Tokenomics
    • 💰Tokenomics
      • $GENE Token Utility
      • Token Distribution
  • Roadmap
    • 🚩Roadmap
  • FAQ
    • ❓FAQ
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  1. How GeneSci Works
  2. GeneSci: Process and Rewards System

AI Analysis & Report Generation

At the heart of GeneSci is its AI-powered genetic analysis, which transforms raw genetic data into meaningful health insights.

  • Genetic Data Upload: Users begin by uploading their genetic test reports, which can come from various genetic testing providers. GeneSci accepts multiple formats and standardizes the data for processing.

  • AI-Powered Algorithms: Once the genetic data is uploaded, GeneSci's AI algorithms analyze the information to generate a comprehensive, personalized health report. This report covers a wide range of factors, including personalized lifestyle recommendations (diet, exercise, stress management), medication compatibility, and disease prevention strategies.

  • Specialized Analyses: Users can unlock additional, in-depth analyses of specific genetic traits or health conditions by subscribing to specialized features. These analyses can dive deeper into conditions like cancer risk, genetic disorders, or drug responses, offering users a more thorough understanding of their health.

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Last updated 3 months ago

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