Skip to main content

Medical Intelligence INFTs

What are Medical Intelligence INFTs?​

Medical Intelligence INFTs are tokenized medical expertise built on the ERC-7857 standard, designed specifically for secure transfer of AI-powered medical knowledge. Unlike traditional NFTs that represent static assets, Medical Intelligence INFTs contain executable medical intelligence that can diagnose, recommend treatments, and guide medical research.

ERC-7857 Standard for Medical Applications​

Why ERC-7857 is Perfect for Healthcare​

🛡️ Privacy-Preserving Metadata

  • Encrypts sensitive medical intelligence data
  • Protects proprietary diagnostic algorithms
  • Maintains patient privacy throughout transfers

🔄 Secure Intelligence Transfer

  • Both ownership AND encrypted medical knowledge transfer together
  • Verifiable transfer process ensures diagnostic capability integrity
  • New owners receive fully functional medical intelligence

⚡ Dynamic Medical Knowledge

  • Supports evolving AI diagnostic capabilities
  • Secure updates to medical protocols and treatment algorithms
  • Maintains functionality as medical knowledge advances

🌐 Decentralized Medical Storage

  • Integrates with 0G Storage for permanent, tamper-proof medical knowledge
  • Distributed access management across global medical network
  • No single point of failure for critical medical intelligence

Types of Medical Intelligence INFTs​

🩺 Diagnostic Protocol INFTs​

AI models trained on specific medical conditions

const diagnosticINFT = {
  specialtyDomain: "rare_neurological_diseases",
  trainingData: "10,000+ anonymized cases",
  accuracy: "94.7% diagnostic accuracy",
  capabilities: [
    "symptom_pattern_recognition",
    "differential_diagnosis_ranking",
    "recommended_diagnostic_tests",
    "prognosis_prediction",
  ],
  supportedConditions: [
    "huntingtons_disease",
    "als_spectrum_disorders",
    "rare_movement_disorders",
  ],
};

💊 Treatment Algorithm INFTs​

Evidence-based decision trees with outcome tracking

const treatmentINFT = {
  specialtyDomain: "oncology_treatment_protocols",
  evidenceBase: "Meta-analysis of 50+ clinical trials",
  patientOutcomes: "87% improved treatment response",
  capabilities: [
    "personalized_treatment_selection",
    "drug_interaction_analysis",
    "dosage_optimization",
    "side_effect_prediction",
  ],
  treatmentProtocols: [
    "immunotherapy_combinations",
    "precision_medicine_dosing",
    "supportive_care_optimization",
  ],
};

🔬 Research Methodology INFTs​

Proven clinical trial protocols for accelerated research

const researchINFT = {
  specialtyDomain: "clinical_trial_design",
  successfulTrials: "25+ completed studies",
  averageRecruitment: "40% faster patient enrollment",
  capabilities: [
    "optimal_trial_design",
    "patient_stratification",
    "endpoint_selection",
    "regulatory_compliance",
  ],
  researchAreas: [
    "rare_disease_trials",
    "pediatric_studies",
    "multi_site_coordination",
  ],
};

👨‍⚕️ Specialist Consultation INFTs​

Access to global medical expertise on-demand

const consultationINFT = {
  specialtyDomain: "pediatric_cardiology",
  expertiseLevel: "International specialist network",
  responseTime: "Average 2 hours",
  capabilities: [
    "case_review_analysis",
    "treatment_recommendation",
    "surgical_planning",
    "second_opinion_provision",
  ],
  globalNetwork: [
    "johns_hopkins_pediatric_cardiology",
    "great_ormond_street_specialists",
    "boston_childrens_cardiac_team",
  ],
};

Medical INFT Transfer Process​

1. Encrypt Medical Intelligence​

// Encrypt sensitive diagnostic algorithms and medical data
const encryptedMedicalData = await encryptMedicalIntelligence(
  diagnosticAlgorithm,
  treatmentProtocols,
  patientConsentData,
  institutionPrivateKey
);

2. Commit to 0G Storage​

// Store encrypted medical intelligence on 0G Storage
const storageResult = await zg.storage.upload({
  data: encryptedMedicalData,
  metadata: {
    type: "medical_intelligence",
    specialty: "cardiology",
    version: "v2.1",
    lastUpdated: Date.now(),
  },
});

3. Mint Medical INFT​

// Create Medical Intelligence INFT with ERC-7857
const medicalINFT = await medicalINFTRegistry.mintMedicalINFT(
  recipientAddress,
  "pediatric_cardiology",
  storageResult.contentHash,
  contributingInstitutions,
  {
    usageRights: "consultation_and_diagnosis",
    royaltyRate: 500, // 5% to contributing institutions
    updatePermissions: "original_creators_only",
  }
);

4. Secure Transfer with Medical Knowledge​

// Transfer both ownership and encrypted medical intelligence
const transferResult = await medicalINFTRegistry.safeTransferWithIntelligence(
  fromAddress,
  toAddress,
  tokenId,
  encryptedMedicalData
);

5. Verify and Grant Access​

// New owner gains access to medical intelligence
const medicalIntelligence = await medicalINFTRegistry.accessMedicalIntelligence(
  tokenId,
  newOwnerPrivateKey
);

Usage Examples​

Cross-Border Medical Consultation​

// Dr. Sarah in rural hospital accesses specialist INFT
const consultationRequest = {
  patientCase: encryptedPatientData,
  consultationType: "pediatric_cardiology_review",
  urgencyLevel: "high",
  consentProof: patientConsentSignature,
};

// Execute Medical Intelligence INFT for consultation
const consultationResult = await medicalINFTRegistry.executeConsultation(
  specialistINFTTokenId,
  consultationRequest
);

// Receive specialist recommendations
const recommendations = {
  diagnosis: "Complex congenital heart defect - Tetralogy of Fallot variant",
  recommendedActions: [
    "Immediate cardiac catheterization",
    "Consultation with pediatric cardiac surgeon",
    "Pre-operative optimization protocol",
  ],
  urgencyLevel: "Emergency - within 24 hours",
  specialistContacts: ["dr.kim@johns_hopkins", "dr.patel@boston_childrens"],
};

Research Collaboration through INFTs​

// Research institution licenses methodology INFT
const researchLicense = await medicalINFTRegistry.grantResearchLicense(
  researchMethodologyTokenId,
  requestingInstitution,
  {
    duration: "2_years",
    scope: "rare_disease_clinical_trials",
    dataAccess: "anonymized_outcomes_only",
    revenueShare: 250, // 2.5% of trial commercialization
  }
);

// Access proven clinical trial methodology
const trialProtocol = await medicalINFTRegistry.accessResearchMethodology(
  researchMethodologyTokenId,
  researchLicense.accessKey
);

Revenue Model for Medical INFTs​

Automatic Revenue Distribution​

// Smart contract automatically distributes revenue
contract MedicalINFTRevenue {
    function distributeMedicalINFTRevenue(
        uint256 tokenId,
        uint256 totalRevenue
    ) external {
        MedicalIntelligence memory medical = medicalINFTs[tokenId];

        // Distribute to contributing institutions
        for (uint i = 0; i < medical.contributingInstitutions.length; i++) {
            uint256 institutionShare = (totalRevenue * 400) / 10000; // 4%
            payable(medical.contributingInstitutions[i]).transfer(institutionShare);
        }

        // Platform fee
        uint256 platformFee = (totalRevenue * 100) / 10000; // 1%
        payable(platformAddress).transfer(platformFee);

        // Remainder to INFT owner
        uint256 ownerShare = totalRevenue - institutionShare - platformFee;
        payable(ownerOf(tokenId)).transfer(ownerShare);
    }
}

Usage-Based Monetization​

  • Per-Consultation Fees: Each medical consultation generates revenue
  • Subscription Access: Institutions pay monthly for INFT access
  • Research Licensing: Long-term licenses for clinical trial methodologies
  • Outcome-Based Payments: Revenue sharing based on treatment success rates

Integration with 0G Infrastructure​

0G Storage Integration​

  • Permanent Medical Knowledge: Immutable storage of diagnostic algorithms
  • Version Control: Track evolution of medical intelligence over time
  • Access Control: Granular permissions for medical data access

0G Compute Integration​

  • Secure Inference: Execute medical AI models without exposing data
  • Distributed Processing: Scale medical analysis across global network
  • Privacy-Preserving Computation: Analyze patient data while maintaining privacy

0G DA Integration​

  • Medical Audit Trails: Immutable record of all medical consultations
  • Treatment Verification: Verify authenticity of medical recommendations
  • Research Integrity: Ensure medical research results cannot be tampered with

Medical Intelligence INFTs represent the future of global medical collaboration, enabling secure transfer of medical expertise while maintaining privacy, ensuring quality, and creating sustainable economic incentives for medical innovation.