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Advancing Health AI in
Resource Limited Settings

An interdisciplinary network of researchers, health professionals, policymakers,
experts, and institutions

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HAINet Logo
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We work to advance Health AI in
resource-limited settings by shaping a shared agenda, fostering global collaboration,
& catalysing impactful innovation
where it matters the most.

Recent & Upcoming

PriFedData SymposiumConference
September, 2025

PriFedData Symposium

An international symposium, being held in Kathmandu in September 2025, to explore technical, ethical and logistic standards and challenges in building privacy-preserving federated learning and data sharing mechanisms in resource limited settings.

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Conference Chairs' SummaryPublication
February 1, 2025

Conference Chairs' Summary

Our latest publication summarises the proceedings of the Health AI for All Conference (HAICon 2025). Read more in this conference chairs’ summary.

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HAICon 2025Conference
January 7-8, 2025

HAICon 2025

Our flagship annual event, the Health AI for All Conference (HAICon 2025) was held on January 7-8, in Kathmandu, Nepal in bringing together researchers, practitioners, policymakers, and other stakeholders to share insights on Health AI in resource-limited settings.

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