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Abu Dhabi Future Health Summit 2026 is the annual global flagship gathering of Future Health – A Global Initiative by Abu Dhabi, taking place from 20–22 October 2026 at the Abu Dhabi National Exhibition Centre (ADNEC). Hosted by Future Health – A Global Initiative by Abu Dhabi and the Department of Health – Abu Dhabi, with dmg events Middle East involved in event delivery, the summit brings together leaders from government, science, technology, policy, healthcare, and investment. The 2026 summit is centered on the theme "To Sense is to Predict" and explores how sensing, data, science, and technology can support earlier detection, prediction, prevention, and more proactive approaches to health. Its programme is organized around four impact areas: Longevity and Precision Health, Digital Health and AI, Health System Resilience and Sustainability, and Investment in Life Sciences. Topics include genomics and multi-omics, precision diagnostics, artificial intelligence, predictive analytics, population health surveillance, health-system resilience, sustainable healthcare, and investment in life-sciences innovation. The summit combines a high-level forum with exhibitions, partner activations, innovation showcases, and side events such as roundtables and workshops. It provides opportunities for policymakers, researchers, technologists, investors, entrepreneurs, healthcare leaders, and other stakeholders to exchange knowledge, develop partnerships, showcase innovations, and explore solutions for longer, healthier, and more resilient populations. The 2026 edition is expected to bring together 16,000 international attendees, 1,750 conference delegates, 300 speakers, 175+ exhibitors, and participants from 100 countries.
Understanding biological processes at an individual level to detect changes associated with ageing and disease before clinical symptoms appear.
Translating validated biomarkers into personalized interventions to delay or prevent disease.
Shaping health trajectories from early development through ageing using a lifelong precision medicine approach.
Expanding applications of AI in clinical forecasting and population health management.
Capturing real-time physiological and behavioral data to scale remote and hybrid care models.
Ensuring privacy, security, transparency, and fair access in AI-driven healthcare decision making.
Combining clinical, environmental, and behavioral data to support preparedness and adaptive response.
Building flexible health roles and capacity that support data-enabled care delivery across diverse settings.
Embedding predictive analytics into system planning to maintain essential services and manage global uncertainty.
Capitalizing on precision diagnostics and platforms that integrate biological data with real-world evidence.
Navigating lengthy development and approval processes to match the speed of health innovation.
Aligning investment incentives with long-term preventive health outcomes to ensure broad and lasting impact.
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