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Technical Architecture

MedNexus is built on 0G Chain's complete infrastructure stack, enabling seamless global medical collaboration with enterprise-grade security and privacy controls. The platform transforms isolated medical institutions into an interconnected global intelligence network where every patient benefits from worldwide medical expertise.

System Overview​

┌─────────────────────────────────────────────────────────────┐
│                    MedNexus Platform                        │
├─────────────────────────────────────────────────────────────┤
│  Frontend: Medical Dashboards & Research Collaboration UI   │
│  ├─ SvelteKit + Medical Flow Builder                       │
│  ├─ Smart Account Integration (Non-crypto UX)              │
│  ├─ Real-time Global Case Matching Interface               │
│  ├─ Expert Publications Platform                           │
│  └─ Cross-Border Consultation Workflows                    │
├─────────────────────────────────────────────────────────────┤
│                    0G Chain Integration                     │
│  ├─ Storage: Global Medical Data Lake                      │
│  ├─ Compute: Medical AI Processing Engine                  │
│  ├─ Chain: Cross-Border Coordination Hub                   │
│  └─ DA: Medical Truth & Verification Layer                 │
├─────────────────────────────────────────────────────────────┤
│  Smart Contracts: Medical INFTs & Institution Coordination  │
│  ├─ MedicalCollaborationHub.sol                           │
│  ├─ MedicalINFTRegistry.sol (ERC-7857)                     │
│  ├─ CrossBorderConsent.sol                                │
│  ├─ ResearchCoordination.sol                              │
│  └─ ExpertPublications.sol                                │
└─────────────────────────────────────────────────────────────┘

Core Components​

🧠 Medical Intelligence INFTs (ERC-7857)​

Tokenized medical expertise containing transferable knowledge assets:

  • Diagnostic Protocol INFTs: AI models trained on specific medical conditions
  • Treatment Algorithm INFTs: Evidence-based decision trees with outcome tracking
  • Research Methodology INFTs: Proven clinical trial protocols for accelerated research
  • Specialist Consultation INFTs: Access to global medical expertise on-demand

ERC-7857 Advantages for Medical Applications:

  • Privacy-Preserving Metadata: Encrypts sensitive medical intelligence while maintaining transferability
  • Secure Metadata Transfers: Both ownership AND encrypted medical knowledge transfer together
  • Dynamic Data Management: Supports evolving AI agent capabilities as medical knowledge advances
  • Verifiable Ownership: Cryptographic proofs validate all medical intelligence transfers
  • Authorized Usage: Grant usage rights for medical consultations without ownership transfer

🗄️ Global Medical Data Lake (0G Storage)​

Encrypted, distributed storage of global medical knowledge:

  • Patient Records: With granular access controls and client-side encryption
  • Research Datasets: Multi-institutional studies with anonymization layers
  • Medical Imagery: Diagnostic data with AI-enhanced pattern recognition
  • Clinical Trial Results: Longitudinal studies and treatment outcome tracking
  • Expert Publications: Global medical journal content and collaborative research

⚡ Medical AI Engine (0G Compute)​

Distributed AI processing for medical intelligence:

  • Global Case Matching: Pattern recognition across worldwide patient populations (under 30 seconds)
  • Rare Disease Detection: AI-powered discovery of similar cases across continents
  • Drug Discovery Acceleration: Collaborative pharmaceutical research through shared datasets
  • Diagnostic Assistance: Real-time treatment recommendations from global expertise
  • Research Coordination: Automated clinical trial participant matching and protocol optimization

🌐 Institutional Coordination Hub (0G Chain)​

Smart contracts managing global medical collaboration:

  • Cross-Border Medical Agreements: Automated consent management and data sharing permissions
  • Research Collaboration Frameworks: Multi-institutional study coordination with ethics automation
  • Medical Intelligence INFT Licensing: Revenue distribution and usage rights management
  • Institutional Verification: Credentialing systems for hospital and doctor authentication
  • Expert Publications: Decentralized medical journal platform with peer review automation

🔍 Medical Truth Layer (0G DA)​

Immutable verification of medical cases and research integrity:

  • Case Authenticity Verification: Cryptographic proofs for global database integrity
  • Research Result Validation: Reproducibility proofs and outcome tracking
  • Treatment Outcome Analysis: Longitudinal treatment effectiveness verification
  • Cross-Institutional Audit Trails: Complete compliance records for regulatory requirements

🌐 Institutional Coordination Hub (0G Chain)​

Smart contracts managing global medical collaboration:

  • Cross-border medical agreements and consent management
  • Research collaboration frameworks and ethical coordination
  • Medical Intelligence INFT licensing and revenue distribution
  • Institutional verification and credentialing systems

🔍 Medical Truth Layer (0G DA)​

Immutable verification of medical cases and research integrity:

  • Case authenticity verification for global database
  • Research result integrity and reproducibility proofs
  • Treatment outcome tracking and longitudinal analysis
  • Cross-institutional audit trails for compliance

Technical Implementation Examples​

0G Storage — Global Medical Data Lake​

Purpose: Store encrypted patient records, medical research, case studies, diagnostic images, and institutional knowledge with verifiable provenance and granular access controls.

Medical Case Registration Example:

// 1. Doctor uploads medical case with encryption
const medicalFiles = [
  patientHistory,
  diagnosticImages,
  labResults,
  geneticData,
  symptomAnalysis,
];

const encryptedChunks = await encryptClientSide(medicalFiles, hospitalKey);
const uploadResult = await zg.storage.upload({
  chunks: encryptedChunks,
  metadata: {
    type: "rare_disease_case",
    specialty: "neurology",
    timestamp: Date.now(),
    institution_id: "nyu_hospital",
    patient_consent_hash: sha256(jeffConsentSignature),
  },
});

// 2. Create medical case manifest
const medicalManifest = {
  manifestVersion: "2.0",
  caseId: generateMedicalCaseId(),
  contentHash: uploadResult.rootHash,
  encryptionMetadata: {
    algorithm: "AES-256-GCM",
    keyDerivation: "PBKDF2",
    accessControlList: ["nyu_hospital", "authorized_researchers"],
  },
  medicalMetadata: {
    presentingSymptoms: hashSymptoms(jeffSymptoms),
    demographicHash: sha256(ageGenderEthnicity),
    similaritScore: null, // To be populated by AI matching
    globalMatches: [], // To be filled when similar cases found
    researchConsent: true,
    anonymizationLevel: "full",
  },
};

// 3. Register case in global medical registry
await medicalRegistry.registerCase(
  medicalManifest.caseId,
  medicalManifest.contentHash,
  "medical-case-manifest-uri"
);

0G Compute — Medical AI Analysis Engine​

Purpose: Run AI models for global case matching, diagnostic pattern recognition, drug discovery, and research collaboration matching.

Global Case Matching Example:

// Submit global case matching job
const medicalAnalysisJob = {
  jobType: "global_case_matching",
  inputManifests: [jeffCaseManifest.caseId],
  modelSpecs: {
    caseMatcher: "rare-disease-matcher-v4.2",
    symptomAnalyzer: "symptom-pattern-ai-v3.8",
    geneticMatcher: "genetic-similarity-v2.3",
    treatmentPredictor: "treatment-outcome-ai-v2.1",
  },
  computeRequirements: {
    gpuType: "nvidia-h100",
    memory: "80GB",
    maxDuration: "30min",
  },
  accessPermissions: ["global_medical_network"],
  outputEncryption: hospitalPublicKey,
};

const analysisResult = await zg.compute.submitJob(medicalAnalysisJob);

0G Chain — Cross-Border Medical Coordination​

Smart Contract Example:

// Global Medical Collaboration Contract
contract MedicalCollaborationHub {
    struct MedicalCase {
        bytes32 caseHash;          // Hash of encrypted case data
        address[] authorizedInstitutions;  // Hospitals with access
        address[] consultingDoctors;       // Global expert consultants
        uint256 consentTimestamp;          // Patient consent timestamp
        bool researchParticipation;        // Research participation flag
        MedicalConsent patientConsent;     // Granular consent details
    }

    struct MedicalConsent {
        bool diagnosticSharing;     // Allow diagnostic data sharing
        bool treatmentSharing;      // Allow treatment outcome sharing
        bool researchParticipation; // Allow research participation
        bool globalConsultation;    // Allow international consultation
        uint256 consentExpiry;      // Consent expiration timestamp
        string[] restrictedRegions; // Geographic restrictions
    }

    function registerGlobalCase(
        bytes32 caseHash,
        address patientProxy,
        MedicalConsent memory consent,
        address[] memory authorizedInstitutions
    ) external onlyVerifiedInstitution {
        // Register case for global collaboration
        // Validate patient consent and institutional permissions
        // Enable cross-border medical data sharing
    }
}

// Medical Intelligence INFT Registry
contract MedicalINFTRegistry is ERC7857 {
    struct MedicalIntelligence {
        string specialtyDomain;      // Medical specialty area
        bytes32 knowledgeHash;       // Hash of encrypted medical knowledge
        address[] contributingInstitutions; // Institutions that contributed
        uint256 casesTrained;        // Number of cases used in training
        uint256 accuracyScore;       // Validated diagnostic accuracy
        LicenseTerms defaultLicense; // Default licensing terms
        uint256 usageCount;          // Number of times used
    }

    function mintMedicalINFT(
        address to,
        string memory specialtyDomain,
        bytes32 knowledgeHash,
        address[] memory contributors,
        LicenseTerms memory license
    ) external returns (uint256 tokenId) {
        // Mint Medical Intelligence INFT
        // Store encrypted medical expertise
        // Setup revenue sharing among contributors
    }
}

Security & Privacy Framework​

🔐 Data Protection​

  • Client-Side Encryption: All medical data encrypted before leaving institutional control
  • Zero-Knowledge Architecture: Platform functionality without accessing raw patient data
  • Granular Consent Management: Patient-controlled permissions for every data use case
  • Regulatory Compliance Automation: Built-in HIPAA, GDPR, and international medical privacy laws

🏥 Institutional Trust​

  • Verified Institution Network: Comprehensive credentialing and verification processes
  • Audit Trail Transparency: Complete immutable record of all data access and usage
  • Cross-Border Legal Framework: Automated compliance with international medical cooperation laws
  • Medical Ethics Integration: Built-in ethical review and oversight mechanisms

Expert Publications Integration​

🎓 Decentralized Medical Publishing​

The technical architecture includes dedicated support for the Expert Publications platform, enabling global medical knowledge sharing:

// Expert Publications Smart Contract
contract ExpertPublications {
    struct Publication {
        bytes32 contentHash;           // IPFS hash of encrypted publication
        address[] authors;             // Contributing medical experts
        string[] affiliations;         // Institutional affiliations
        uint256 publicationDate;       // Publication timestamp
        PublicationType pubType;       // Journal article, case study, etc.
        PeerReviewStatus reviewStatus; // Peer review completion status
        LicenseTerms license;          // Usage and attribution rights
    }

    enum PublicationType {
        JOURNAL_ARTICLE,
        CASE_STUDY,
        RESEARCH_PROTOCOL,
        MEDICAL_GUIDELINE,
        COLLABORATIVE_REVIEW
    }

    function publishMedicalContent(
        bytes32 contentHash,
        address[] memory authors,
        string[] memory affiliations,
        PublicationType pubType,
        LicenseTerms memory license
    ) external onlyVerifiedMedicalExpert returns (uint256 publicationId) {
        // Publish medical content with proper attribution
        // Enable global access with licensing controls
        // Integrate with Medical Intelligence INFT ecosystem
    }
}

🤝 Global Collaboration Features​

  • Multi-Institutional Authoring: Seamless collaboration between medical experts worldwide
  • Automated Peer Review: AI-assisted peer review process with global expert matching
  • Revenue Sharing: Transparent distribution of publication income among contributors
  • Citation Tracking: Immutable record of research impact and attribution
  • Language Translation: AI-powered translation for global accessibility

This Expert Publications platform integrates seamlessly with the Medical Intelligence INFT ecosystem, allowing published research to be tokenized and licensed for AI model training and diagnostic support.