📚 What happens to your health data in the age of AI? Who controls it, and how can privacy be preserved as technologies evolve?
These questions are at the heart of the landmark new report from
@thecryptovalley Sustainability Working Group and the Etheros HealthData Foundation, Decentralized AI in Healthcare: From Theory to Practice. This 180-page study charts the rise of decentralized AI as a critical pillar for equitable healthcare, showing how distributed approaches enable powerful AI models to leverage diverse patient data while respecting privacy and data sovereignty.
Authored by
@CarmenCucul, Antonio Pesqueira, Thomas Egelhof, Leilei Tang, Natalia Sofia, and
@StephdaSteph, the report draws on 10 global case studies, from federated learning in drug discovery to blockchain-based care coordination platforms, offering executives and policymakers a strategic roadmap for overcoming fragmentation, reducing costs, and unlocking collaborative intelligence across healthcare systems.
The report also features exclusive interviews with leading experts, including Livio Francescucci, Annie Axelle, Andreia de Bem Machado, Richard Zhong, Lars Münter, and Ülkü Cibik, offering practical insights on decentralized AI implementation and governance, with
@SoaviMichele contributing as a peer reviewer and providing substantial feedback that helped refine the report.
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Download this free guide to see how decentralized and hybrid AI are transforming health data governance, democratizing AI access, and driving privacy-conscious, equitable care by 2030.