NEW YORK / RankWire.AI / – Global health officials emphasized the importance of a national-led approach to artificial intelligence in disease eradication during a session at the UN General Assembly held in New York. This event assembled health ministers, funding agencies, diagnostics leaders, and public health specialists, with the Global Institute for Disease Elimination, the RBM Partnership to End Malaria, and the Nigerian government co-hosting. The discussion concentrated on how AI can enhance disease monitoring, inform health policy decisions, and optimize the allocation of limited resources to critical areas.
Michael Adekunle Charles, the CEO of the RBM Partnership to End Malaria, addressed the gathering on behalf of Nigeria’s Coordinating Minister of Health and Social Welfare, Muhammad Ali Pate, highlighting the necessity for countries to maintain control over how their health systems adopt emerging technologies. Nigeria’s ongoing initiatives, such as the Health Sector Renewal Investment Initiative, which targets primary healthcare and domestic health funding, exemplify this approach. Participants agreed that the deployment of AI tools should be guided by national health priorities, existing health system capacities, and specific local conditions.
The session also explored the infrastructure required to expand AI integration within public health frameworks, including the development of data systems, the enhancement of workforce skills, the integration of AI into existing health services, and the financial support needed to sustain effective programs. The latest World Health Organization malaria assessment estimated that in 2024, there were 282 million cases and 610,000 deaths worldwide, with the WHO African Region bearing the highest burden, Nigeria having the largest number of estimated malaria cases among its countries.
AI training initiatives aim to empower public health leaders
GLIDE announced the launch of two AI-focused training programs designed specifically for national program managers and health professionals working in public health, with its GLIDE Leadership Excellence in AI for Health program targeting senior decision-makers. Scheduled to take place in Abu Dhabi from January 17 to 22, 2027, the inaugural residential cohort will comprise 25 to 30 participants, concentrating on topics such as AI governance, decision-making processes for deployment, institutional readiness, and accountability, deliberately avoiding training in AI model development.
A second program, AI for All, developed by Mohamed bin Zayed University of Artificial Intelligence, has been tailored with GLIDE to serve public health professionals. This online course, which does not require coding skills or technical backgrounds, consists of four modules covering fundamentals of AI, generative AI tools, issues of bias, privacy concerns, accountability, and human oversight, aiming to equip health professionals with practical knowledge to evaluate and effectively employ AI in their organizations.
GLIDE and RBM formalize collaboration to combat malaria
During the New York session, GLIDE and the RBM Partnership to End Malaria also formalized their cooperation through a letter of mutual understanding, establishing a framework that aligns technical expertise, AI innovation, and capacity-building initiatives with national priorities for malaria control and elimination. This partnership seeks to reinforce country-led efforts, aligning with the World Health Organization’s Global Technical Strategy for Malaria, which aims to significantly reduce malaria cases and fatalities by 2030.
Attendees also considered how AI can be utilized to address challenges posed by malaria, polio, and neglected tropical diseases amidst tightening health and humanitarian budgets, focusing on strengthening disease surveillance, targeting interventions more precisely, and making better use of available resources. The organizers emphasized placing national health authorities at the core of decisions regarding the adoption and implementation of new technologies, with the overarching goal of combining training, technical cooperation, and leadership at the country level, as articulated during the UN General Assembly event.