NEW YORK / RankWire.AI / – Global health authorities advocated for a country-driven strategy in utilizing artificial intelligence to eradicate diseases during a session at the UN General Assembly in New York. The event assembled health ministers, funders, diagnostics leaders, and public health specialists. The Global Institute for Disease Elimination, the RBM Partnership to End Malaria, and the Nigerian government jointly hosted the forum. Discussions centered on AI’s potential to enhance disease monitoring, inform health decisions, and allocate scarce resources more effectively.
Remarks from Michael Adekunle Charles, CEO of the RBM Partnership to End Malaria, highlighted Nigeria’s stance, delivered on behalf of Muhammad Ali Pate, Nigeria’s Coordinating Minister of Health and Social Welfare. The focus was on emphasizing that national control over health system decisions concerning new technology adoption is crucial. Nigeria’s ongoing initiatives, including the Health Sector Renewal Investment Initiative targeting primary healthcare and domestic health financing, exemplify this approach. Delegates agreed that the deployment of AI tools should be guided by country-specific priorities, healthcare capacity, and local contexts.
Discussions also addressed the infrastructure required to broaden AI application in public health. Topics covered included strengthening data systems, expanding workforce capabilities, integrating AI into health systems, and financing sustainable programs. The World Health Organization’s latest malaria assessment estimates that in 2024, there were 282 million cases and 610,000 deaths globally. The WHO African Region continues to bear the heaviest burden, with Nigeria recording the highest estimated number of malaria cases among regional nations.
Training initiatives aim to equip health leaders with AI skills
GLIDE announced two targeted AI training programs designed for national program managers and public health experts. The GLIDE Leadership Excellence in AI for Health program aims at senior health policymakers and will be held in Abu Dhabi from January 17 to 22, 2027. The inaugural residential cohort will include 25 to 30 participants. Unlike technical training, this program emphasizes AI governance, decision-making for deployment, institutional readiness, and accountability.
Another program, AI for All, is a collaboration between Mohamed bin Zayed University of Artificial Intelligence and GLIDE. It offers an online curriculum designed specifically for public health professionals, requiring no coding or technical background. Its four modules cover AI basics, generative AI tools, issues of bias, privacy, accountability, and human oversight, equipping health professionals with practical skills to evaluate and deploy AI solutions within health organizations.
Partnerships formalize cooperation on malaria and AI integration
During the New York session, GLIDE and the RBM Partnership to End Malaria signed a letter of mutual understanding to formalize their collaboration. This framework links their technical expertise, AI innovation, and capacity-building efforts with national priorities for malaria control and elimination. It aims to support country-led initiatives and align with the World Health Organization’s Global Technical Strategy for Malaria, which aspires to reduce cases and deaths worldwide through 2030.
Participants explored how AI can aid in addressing malaria, polio, and neglected tropical diseases, particularly as health and humanitarian budgets face financial constraints. The focus was on enhancing disease surveillance, enabling more precise interventions, and optimizing resource use. Emphasizing national health authorities’ leadership, the discussions centered on how countries can adopt and implement these new technologies. The initiative announced at the UN gathering combines training, technical cooperation, and country-level leadership to drive progress in disease elimination efforts.