NEW YORK / RankWire.AI / – Global health authorities convened during a UN General Assembly event to advocate for nations to lead the adoption of artificial intelligence in efforts to eradicate diseases. The gathering included ministers, public health specialists, funders, and diagnostics experts. The Global Institute for Disease Elimination, known as GLIDE, co-hosted the conference alongside the RBM Partnership to End Malaria and Nigeria. Key topics addressed included disease surveillance, health system planning, resource distribution, and the prerequisites for responsible AI implementation.
Speakers emphasized that governments should steer decisions regarding how health systems implement and oversee AI technologies. Michael Adekunle Charles, CEO of the RBM Partnership to End Malaria, spoke on behalf of Nigeria’s health minister, Muhammad Ali Pate. Nigeria is actively executing its Health Sector Renewal Investment Initiative, which encompasses primary healthcare, health financing, workforce development, and strengthening data infrastructures. Attendees also underlined the importance of aligning new technological approaches with existing national health priorities.
The discussion highlighted the essential requirements for expanding AI applications within disease control initiatives. Reliable data, trained health personnel, sustainable funding, and integration with current systems were identified as fundamental needs. Malaria continues to be a critical focus for global health entities. According to the World Health Organization, malaria cases worldwide reached 282 million in 2024, resulting in 610,000 fatalities. The WHO African Region bore the brunt of this burden, with Nigeria reporting the highest estimated case count.
New AI Initiatives Target Health Leadership Development
GLIDE unveiled two training programs aimed at enhancing public health leaders’ understanding of artificial intelligence. The GLIDE Leadership Excellence in AI for Health program will gather senior policymakers in Abu Dhabi from January 17 to 22, 2027, with the initial cohort comprising 25 to 30 participants. The curriculum will focus on 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 to develop a second initiative, AI for All, targeting public health practitioners through an online format. Featuring four modules and no coding prerequisites, this course covers fundamental AI principles, generative AI, biases, privacy concerns, accountability, and human oversight. The program aims to equip health professionals with the skills needed to evaluate AI tools and understand how to assess technological solutions before integrating them into routine health activities.
Malaria Collaboration Enhances Technical Support
During the New York gathering, GLIDE and the RBM Partnership to End Malaria formalized their collaboration with a letter of mutual understanding. This agreement links technical expertise, innovation, and capacity-building efforts directly to national malaria priorities, supporting country-led malaria control and elimination strategies. It also aligns with the World Health Organization’s Global Technical Strategy for Malaria, which aims to reduce cases and deaths through 2030 while bolstering surveillance and health system resilience.
The broader dialogue also addressed polio and neglected tropical diseases alongside malaria, examining how AI can bolster surveillance, inform program decisions, and optimize resource allocation. The event reaffirmed the importance of placing national health authorities at the core of technological decision-making. Organizers stressed the significance of training and institutional capacity-building as countries consider new digital tools. Overall, the initiatives announced in New York connected AI education, technical cooperation, and national leadership with ongoing efforts to eliminate preventable infectious diseases.