AiX3 brings together innovators, researchers, and investors shaping the next generation of digital health — powered by artificial intelligence, blockchain, and data ownership.
Exploring the convergence of AI, Web3, and healthcare innovation — summits, insights, and a global network driving decentralized health.
Next‑gen medical AI, federated learning, predictive diagnostics, and generative models for clinical workflows.
Blockchain for digital identity, tokenized incentives, decentralized storage, and smart contracts for healthcare.
Patient‑owned data, consent management, zero‑knowledge proofs, and compliant data sharing frameworks.
Summits, DAO governance, investor network, cross‑border research, and startup acceleration programs.
Hybrid, in‑person and virtual gatherings across MENA, APAC, and global time zones.
Dubai, UAE — January 24–25, 2027
Cutting‑edge AI & Web3 healthcare convergence in the heart of the Middle East.
5th Edition · Virtual Symposium
12 PM Dubai (GST) · 25 June 2026
Singapore — 6th October 2026
Showcasing decentralized health innovations across Asia‑Pacific.
Sydney — TBC 2027
Future‑focused healthcare & Web3 dialogue in Australia.
Explore key verticals: AI Diagnostics · DePIN for Health · Web3 Data Marketplaces · Longevity Science · Mental Health AI · Decentralized Trials
AI-powered early detection of neurodegenerative diseases using retinal scans & biomarkers.
Decentralized physical infrastructure network for secure, patient‑controlled health records.
Patient‑owned data marketplace — anonymize & monetize health insights on‑chain.
AI-driven longevity protocols with personalized biomarker analysis and genetic insights.
Therapeutic LLM agents + confidential Web3 storage for accessible mental wellness.
Blockchain‑based clinical trial platform for transparent patient recruitment and data provenance.
Decentralized clinical data frameworks.
Blockchain genomics & patient-owned data.
Responsible AI in medical diagnostics.
AI integration in clinical workflows.
How blockchain empowers patients to control medical records and monetize health data.
Privacy‑preserving machine learning for medical AI without exposing raw data.
Distributed ledgers combating counterfeit medication in drug supply chains.