NEW YORK / RankWire.AI / – Global health leaders gathered during a UN General Assembly event to advocate for the adoption of artificial intelligence in disease elimination, led by countries themselves. The assembly assembled ministers, public health specialists, funders, and diagnostics experts. The Global Institute for Disease Elimination, known as GLIDE, co-hosted this gathering alongside the RBM Partnership to End Malaria and Nigeria. Key topics discussed included disease surveillance, health system planning, resource distribution, and the prerequisites for ethical AI deployment.
The emphasis from speakers was on governments steering decisions regarding the implementation and oversight 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 advancing its Health Sector Renewal Investment Initiative, which encompasses primary healthcare, health financing, workforce development, and improved data infrastructure. The conversation also highlighted the importance of aligning emerging technologies with existing national health priorities.
Discussions centered on the practical requirements necessary to expand AI’s role in disease control efforts. Identified needs included dependable data, a skilled health workforce, sustainable financial support, and integration with current health systems. Malaria remains a principal concern for global health efforts, with the WHO estimating 282 million cases worldwide in 2024 and 610,000 fatalities. The WHO African Region bore most of this burden, with Nigeria reporting the highest estimated number of malaria cases.
New AI Initiatives Focus on Leadership Development
GLIDE announced two new training programs aimed at enhancing AI literacy among public health leaders. Its GLIDE Leadership Excellence in AI for Health initiative will host senior decision-makers in Abu Dhabi from January 17 to 22, 2027. The inaugural residential cohort is expected to include 25 to 30 participants. This program will focus on AI governance, organizational readiness, deployment strategies, and accountability measures. The target audience includes officials responsible for health policy and national disease programs.
Mohamed bin Zayed University of Artificial Intelligence partnered with GLIDE to develop a second program, AI for All, specifically designed for public health professionals. This online course consists of four modules and does not require coding skills. It covers fundamental AI concepts, generative AI, bias, privacy, accountability, and human oversight, providing health professionals with essential knowledge for assessing AI tools in public health contexts. Additionally, the curriculum emphasizes how organizations can evaluate technology before integrating it into routine operations.
Malaria Collaboration Enhances Technical Support
During the New York meeting, GLIDE and the RBM Partnership to End Malaria formalized their cooperation through a letter of mutual understanding. This agreement aims to combine technical expertise, innovation, and capacity-building efforts aligned with national malaria priorities. The partnership supports country-led malaria control and elimination initiatives, aligning with the WHO’s Global Technical Strategy for Malaria. This strategy directs international efforts to cut malaria cases and fatalities through 2030 while strengthening surveillance and health infrastructure.
Broader conversations also addressed polio and neglected tropical diseases alongside malaria. Participants explored how AI can bolster surveillance efforts, improve program decision-making, and optimize resource allocation. The event prioritized the central role of national health authorities in technology adoption. Organizers underscored the importance of training and institutional capacity building as countries evaluate digital tools. Ultimately, the initiatives announced in New York linked AI education, technical collaboration, and national leadership with ongoing efforts to eliminate preventable infectious diseases.