ConV2X Decentralized Health 2026

Welcome to ConV2X Decentralized Health 2026

Governing at the Speed of Deployment: AI, Standards & the Global Health Data Stack

A candid look at what it actually takes to govern systems that are already live: where policy is ahead of deployment, where it's dangerously behind, and who gets to decide.

The Digital Foundation for Borderless Health

Care without borders starts with trusted digital identity. Standards-based, permissionable digital credentials create a common foundation for healthcare providers, regulators, hospitals, and payors to securely verify qualifications across regions and borders.

Multi-Agentic AI & Decentralized Architectures Across Pharma and Health Ecosystems

How autonomous agent networks, federated AI, and blockchain-anchored data layers are being deployed at scale across pharma, hospitals, and public health.

Platform Architecture for Decentralized Health

Practical walkthrough of scalable, interoperable platform stacks and enterprise deployment lessons.

Quantum & Cyber Readiness in Health Systems

Post-quantum cryptography, enterprise quantum readiness, and the converging cyber threat landscape for health data infrastructure.

Privacy-by-Design in Practice: Cybersecurity Frameworks for Health Systems

Zero-trust models, privacy-first architecture, and threat mitigation built into health platforms from day one.

Digital Assets in Health: Tokenization, Wallets & Data Monetization

Tokenization of health assets and RWAs, self-sovereign patient identity, and ethical frameworks for health data monetization.

AI & Blockchain-Secured Clinical Trials

Live deployments securing trial data integrity, patient consent, and provenance across clinical research.

Open Science & Decentralized Research: DeSci, AI, and Public Health Reporting

Open-science infrastructure and private AI for clinical research and public health reporting.

Enterprise Value: What Will Scale, and What Will Not?

A rapid-fire closing discussion examining which AI, blockchain, and decentralized health initiatives have a viable enterprise business case. Speakers address measurable value, implementation costs, organizational readiness, adoption barriers, and the decisions required to move from pilots to scalable platforms.

Rapid-fire questions:

• What is delivering measurable enterprise value today?
• What should organizations stop funding?
• What is the smartest investment to make over the next 12 months?
• How should leaders determine whether a technology investment has enterprise value?
• What organizational capabilities must exist before implementation begins?

From Policy to Practice: Implementing AI at Scale in a Health System

Regulatory Divergence & Market Landscape: US, EU & Asia in Safe AI, Decentralized Data & Health Innovation

EU AI Act, HIPAA, GDPR, and emerging FDA and APAC guidance compared across regions, plus where capital is flowing: funding trends and market opportunity across the three regions.

Predictive AI in Clinical Research: Models, Endpoints & Real-World Evidence

Deployed predictive models for trial failure detection, patient stratification, adverse event prediction, and adaptive trial design.

Decentralized Technology for Life Sciences: Smart Contracts, Pharma Traceability & Clinical Data Integrity

Drug provenance, clinical data immutability, and regulatory audit trails.

Improving Patient Outcomes: AI & Decentralized Technology Across Care Settings

A conversation, not a panel: Anjum Khurshid leads a candid walk through what's actually changing patient outcomes on the ground, chronic disease management, oncology data sharing, surgical outcome prediction, and decentralized public health surveillance, with Leo Celi bringing the bioethics lens on where AI-driven care decisions need guardrails.

Ethical AI Use in Health Data: Governance, Bias, Accountability & Audit

Governance structures for responsible AI deployment, algorithmic bias, explainability, and audit mechanisms.

Enhancing Security & Reducing Fraud: Zero-Knowledge Proofs & On-Chain Audit

ZKPs, on-chain audit logs, anomaly detection, and identity verification for health data security and insurance fraud reduction.

From AI Projects to Intelligent Health Platforms: Building the Infrastructure for the Next Era of Healthcare Today

Healthcare is moving beyond isolated AI experiments toward intelligent, connected, and adaptive health systems. The next five years will be defined by organizations that successfully build the underlying infrastructure needed to scale AI responsibly: trusted data ecosystems, interoperable platforms, autonomous workflows, governance frameworks, and human-centered design. This closing keynote will explore the strategic shifts required to move from individual AI projects to enterprise AI platforms that transform care delivery, research, operations, and patient outcomes.

Value Propositions at Lower Cost, Higher Return: Synthesis

Open floor: which deployments are generating measurable ROI today, and separating durable value from hype.

Closing Takeaways & Thank You