In this episode of Decoded: The Future of Health, hosts Dr. Vinod Gauba and Darren Brodeur speak with Professor Ma’n H. Zawati, Associate Professor and Research Director at the Centre of Genomics and Policy at McGill University and Co-lead of the Regulatory and Ethics Work Stream at the Global Alliance for Genomics and Health (GA4GH).

As artificial intelligence becomes increasingly embedded in genomics and clinical care, one question rises to the forefront: how do we build systems that are not only powerful, but trustworthy?

The conversation explores why governance has become the defining infrastructure for global collaboration in health data and AI. Professor Zawati explains how gaps in diversity, interoperability, and policy alignment can hard encode inequity into science, and why trust is essential for ensuring that advances in precision medicine translate into real-world health impact.

Rather than framing regulation as a barrier, this episode examines governance as the foundation that enables innovation to scale responsibly. The discussion highlights transparency, accountability, benefit sharing, and emerging models such as federation and data visiting that allow collaboration without compromising local custodianship.

This episode offers a global perspective on what it will take to ensure that genomics and AI improve healthcare equitably, across borders and across populations.

Decoded: The Future of Health explores the ideas, people, and systems shaping the future of precision medicine and healthcare AI around the world.

In this episode of Decoded: The Future of Health, hosts Dr. Vinod Gauba and Darren Brodeur speak with Albarah El Khani, Chief Operating Officer of M42, one of the leaders behind one of the most ambitious national precision health initiatives in the world.

The conversation offers a rare look inside how the UAE is building a large scale, multi omic, longitudinal health ecosystem that integrates genomics, clinical data, and artificial intelligence to move precision medicine from theory into real world healthcare delivery. Rather than focusing on isolated technologies, this episode explores the systems, governance models, and long term thinking required to operate such programs at national scale.

El Khani shares perspectives on why population representative data matters, how trust and public participation shape health data strategy, and what it takes to design AI enabled healthcare systems that are both innovative and responsible. The discussion also considers what this model could mean globally, particularly for regions historically underrepresented in biomedical research.

Decoded: The Future of Health explores the ideas, people, and systems shaping the future of precision medicine and healthcare AI around the world.

Join us on Decoded: The Future of Health as we dive into the transformative field of genomic medicine with Professor Robert Green, Professor of Medicine at Harvard Medical School, medical geneticist, and physician-scientist. As Director of the Genomes2People Research Program at Brigham and Women’s Hospital, the Broad Institute, and Harvard Medical School, Professor Green has been at the forefront of accelerating the evidence-based implementation of genomic medicine. In this episode, we discuss his pioneering research on genomic disclosure, the urgent need to close diversity gaps in research, and why blind spots in our current data infrastructure represent both the greatest challenges and opportunities in precision medicine.