Objectives, participant introductions, and a landscape-setting overview of where decentralized health tech stands today.
Participants work through a reference architecture for an AI + blockchain health platform: data layers, agent orchestration, smart contract design, and interoperability standards (HL7 FHIR, SMART on FHIR). Interactive applied session.
Working session on zero-trust models, on-chain consent management, and threat modeling for health ecosystems. Participants leave with a security framework template they can adapt immediately.
Practical session on deploying generative AI in trial design, protocol authoring, and decentralized patient recruitment. Case-based exercises using real trial scenarios with AI-assisted eligibility screening and adaptive design tools.
An applied workshop on HIPAA, GDPR, the EU AI Act, and FDA guidance for AI/blockchain health tools. Participants work through real compliance scenarios: data residency, liability allocation, procurement standards, and audit-readiness checklists.
Setting the stage — why AI, blockchain, and platform convergence is redefining care delivery, data ownership, and trust in health systems globally.
How autonomous agent networks, federated AI, and blockchain-anchored data layers are being deployed at scale across hospitals, pharma, and public health.
Practical walkthrough of scalable, interoperable platform stacks. Real-world patterns, API layers, and enterprise deployment lessons — no slides-only theory.
Step-by-step: zero-trust models, privacy-first architecture patterns, and threat mitigation built into health platforms from day one. Participants leave with an actionable checklist.
A focused session across three interconnected areas: tokenization of health assets and real-world assets (RWAs) including patient data pools, research IP, and care financing instruments; digital wallets and self-sovereign patient identity for portable health records and consent; and NFTs, IP ownership, and ethical frameworks for health data monetization. Live examples from pharma, payers, and health data marketplaces.
Live deployments from practitioners: smart contract-driven claims in insurance, AI-triaged patient routing in hospital networks, and national health data infrastructure built on blockchain.
EU AI Act, HIPAA, GDPR, and emerging FDA guidance compared. Where frameworks clash, where they align, and what it means for global product strategy and market access.
Open floor: which deployments are generating measurable ROI today? Scaling from pilot to production, and separating durable value from hype.
Join speakers, attendees, and partners for drinks and conversation at The Foundry. Continue the day's discussions in a relaxed setting, connecting the AI, blockchain, clinical, and policy communities in one room. Open to all registered attendees.
How generative AI is accelerating trial design, eligibility screening, and decentralized trial execution — with real data on recruitment outcomes and operational savings.
Deployed predictive models for trial failure detection, patient stratification, adverse event prediction, and adaptive trial design. Enterprise-validated approaches only.
Hands-on walkthrough of drug provenance, clinical data immutability, and regulatory audit trails. Real implementations from pharma and CROs — what worked, what didn't.
Four case studies: chronic disease management with AI decision support; blockchain-secured oncology data sharing; AI-driven surgical outcome prediction; decentralised public health surveillance.
Practical governance structures for responsible AI deployment. Algorithmic bias in clinical tools, explainability requirements, and audit mechanisms that satisfy regulators and patients alike.
ZKPs, on-chain audit logs, anomaly detection, and identity verification applied to health data security and insurance fraud reduction — with live deployment examples.
Synthesising three days: scalable use cases confirmed, policy gaps identified, and the practical next steps for organisations at every stage of the adoption curve. Open Q&A and delegate commitments.
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