IIHMR University, Jaipur, is proud to announce the much-anticipated Pradanya 2026: Global Health Management Research Conference (GHMRC 2026), scheduled to take place on February 20-21, 2026, at our picturesque campus in Jaipur, India. This year, the conference adopts the theme,

Artificial Intelligence is transforming global health by improving risk prediction, care delivery, and resource allocation. The theme “AI for Global Health: Innovation, Integration and Sustainability” highlights the shift from pilot projects to scalable solutions that address gaps in access, equity, and efficiency. AI advancements are strengthening disease surveillance, diagnostics, remote monitoring, and decision-support systems, enabling more proactive and precise public-health responses. However, real impact depends on integrating AI into health systems through strong data ecosystems, ethical frameworks, and capacity-building. Sustainable AI must be scalable, inclusive, cost-effective, and responsible. By focusing on innovation, integration, and sustainability, this theme supports responsible AI adoption to advance Universal Health Coverage, the Sustainable Development Goals, and global health equity.

The GHMRC 2026 will feature four thematic tracks that reflect the critical dimensions of AI for Global Health: Innovation, Integration and Sustainability:

	Transforming Community Health Through AI and Behavioural Science Integration: The convergence of AI and behavioural science can transform community health by identifying risks, enabling targeted interventions, and supporting frontline workers through adaptive programmes. Sustainable impact depends on trust, inclusion, and ethical, human-centred design.
	AI for Sustainable Development, CSR & ESG Performance Measurement: AI is transforming how organisations measure and deliver on sustainable development, CSR, and ESG commitments by integrating data for transparent, real-time impact analysis. AI-driven forecasting, benchmarking, and automated reporting enhance accountability, ethical governance, and strategic decision-making, enabling organisations to balance economic goals with social and environmental responsibility.
	AI for Market Access, Forecasting & Pharma Commercial Excellence: AI is reshaping pharmaceutical market access by improving insights into patient needs, demand forecasting, supply-chain resilience, and provider engagement. Through real-world evidence and responsible analytics, this track highlights how AI balances commercial excellence with affordability, regulatory alignment, and global health priorities.
	AI in Population Health Management & Predictive Care Pathways: AI is becoming central to population health management by integrating clinical, behavioural, and environmental data to forecast disease burdens and identify high-risk cohorts. Predictive models enable early intervention, personalised care pathways, and more efficient allocation of scarce resources.

These tracks will enable participants to delve into focused research areas, gaining deeper insights into the latest trends and practices promoting global health management solutions. Participants across the globe from academia and industry will present their research and share insights. The conference will also include keynote speeches and panel discussions led by prominent experts and thought leaders, fostering an environment for collaborative learning and innovation in managing global health. Research papers can be submitted under the broad tracks listed above. However, submissions from any related area or discipline within the conference's overarching theme are also welcome.