NEW YORK / RankWire.AI / – Global health leaders leveraged a UN General Assembly meeting to advocate for nations to lead the adoption of artificial intelligence in the fight against disease. The gathering assembled ministers, public health experts, funders, and diagnostics specialists. The Global Institute for Disease Elimination, known as GLIDE, partnered with the RBM Partnership to End Malaria and Nigeria to co-host the event. Key topics included disease surveillance, health system planning, resource distribution, and the prerequisites for responsible AI implementation.
Participants emphasized that government authorities should steer decisions regarding the deployment and management of AI tools within health systems. Michael Adekunle Charles, CEO of the RBM Partnership to End Malaria, spoke on behalf of Nigeria’s health minister, Muhammad Ali Pate. Nigeria continues to roll out its Health Sector Renewal Investment Initiative, which encompasses primary healthcare, health financing, workforce training, and the enhancement of data infrastructure. Attendees also underlined the importance of integrating emerging technologies with existing national health strategies.
The discussion explored practical prerequisites for expanding AI use across various disease control programs. Reliable data sources, well-trained health personnel, sustainable financial support, and system integration were identified as vital. Malaria remains a primary concern for international health organizations. According to estimates from the World Health Organization, there were 282 million malaria cases worldwide in 2024, resulting in 610,000 fatalities. The WHO African Region bore the brunt of this burden, with Nigeria reporting the highest estimated malaria case count.
New AI training initiatives aim to bolster health leadership
GLIDE unveiled two new educational programs designed to enhance artificial intelligence literacy among public health leaders. Its GLIDE Leadership Excellence in AI for Health initiative will convene senior decision-makers in Abu Dhabi from January 17 to 22, 2027. The initial residential cohort will consist of 25 to 30 participants. The curriculum covers AI governance, organizational readiness, deployment strategies, and accountability measures. This training targets officials responsible for shaping health policy and managing national disease programs.
Mohamed bin Zayed University of Artificial Intelligence collaborated with GLIDE to develop a second program, AI for All, aimed at public health professionals. This online course comprises four modules and does not require coding skills. It introduces core AI principles, generative AI, bias mitigation, privacy concerns, accountability, and human oversight. The course provides health professionals with foundational knowledge for evaluating AI tools suitable for public health applications. Moreover, it guides organizations on assessing technology prior to integration into routine operations.
Malaria elimination efforts augmented by technical cooperation
During the New York meeting, GLIDE and the RBM Partnership to End Malaria formalized their collaboration through a letter of mutual understanding. This agreement aims to combine technical expertise, innovative approaches, and capacity-building efforts aligned with national malaria priorities. It supports country-led initiatives focused on controlling and eliminating malaria. The partnership also complements the World Health Organization’s Global Technical Strategy for Malaria, which guides international efforts to decrease cases and fatalities through 2030 by strengthening surveillance systems and health infrastructure.
The broader dialogue also addressed issues related to polio and neglected tropical diseases alongside malaria. Attendees examined how AI can bolster disease surveillance, enhance program decision-making, and optimize resource deployment. Throughout the event, national health authorities remained central to decisions regarding technological adoption. The organizers underscored the importance of training and institutional capacity building as countries explore new digital solutions. Overall, the initiatives introduced in New York connected AI education, technical cooperation, and national leadership to ongoing endeavors aimed at eradicating preventable infectious diseases.