NEW YORK / RankWire.AI / – Global health officials leveraged a UN General Assembly event to advocate for country-led implementation of artificial intelligence in efforts to eliminate diseases. The gathering united ministers, public health specialists, funders, and diagnostic professionals. The Global Institute for Disease Elimination, known as GLIDE, co-hosted this session with the RBM Partnership to End Malaria and Nigeria. Key topics included disease monitoring, strategic health planning, resource distribution, and the prerequisites for responsible AI deployment.
Attendees emphasized that governmental authorities should direct how health systems adopt and regulate AI technologies. Michael Adekunle Charles, CEO of the RBM Partnership to End Malaria, addressed the group on behalf of Nigeria’s health minister, Muhammad Ali Pate. Nigeria is actively progressing with its Health Sector Renewal Investment Initiative, which covers primary healthcare, health financing, workforce capacity-building, and strengthening data systems. Participants also discussed the importance of aligning emerging technologies with existing national health strategies.
The discussion highlighted essential practical elements for expanding AI application within disease control efforts. Reliable data, trained healthcare personnel, sustainable funding, and integration with current systems emerged as critical factors. Malaria remains a top priority for global health agencies, with the World Health Organization estimating 282 million cases worldwide in 2024 and 610,000 fatalities. The WHO African Region bore the majority of this burden, and Nigeria recorded the highest estimated number of malaria cases.
New AI initiatives target health leadership development
GLIDE unveiled two new training programs aimed at enhancing artificial intelligence 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 program will include 25 to 30 participants. The curriculum will cover AI governance, organizational preparedness, deployment strategies, and accountability measures. It is designed for officials responsible for health policy and national disease programs.
Mohamed bin Zayed University of Artificial Intelligence collaborated with GLIDE on a second offering, AI for All, tailored for public health professionals. This online course comprises four modules and requires no prior coding skills. Topics include fundamental AI principles, generative AI, bias mitigation, privacy concerns, accountability, and human oversight. The program provides health workers with essential knowledge to evaluate AI tools within public health contexts. It also guides organizations on assessing technology before integration into routine practices.
Partnership enhances malaria control through technical collaboration
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 promotes country-led strategies to control and eliminate malaria. Additionally, the partnership supports the objectives outlined in the WHO’s Global Technical Strategy for Malaria, which seeks to reduce malaria cases and deaths by 2030 while bolstering surveillance systems and health infrastructure.
The broader dialogue also addressed polio and neglected tropical diseases alongside malaria. Participants explored how AI can enhance disease surveillance, inform programmatic decisions, and optimize resource use. The event kept national health authorities at the forefront of technological decision-making, emphasizing the importance of training and institutional capacity building as countries adopt new digital tools. Overall, the initiatives announced in New York linked AI education, technical cooperation, and national leadership with ongoing efforts to eradicate preventable infectious diseases.