NUST School of Mechanical and Manufacturing Engineering, in collaboration with Development Synergies International and the World Health Organization Eastern Mediterranean Region, is organizing a webinar titled “Applied Artificial Intelligence in Epidemiology, Health Emergencies and Preparedness” on May 5, 2026. The session will be held at the NUST National Science and Technology Park Auditorium in Islamabad beginning at 6:30 PM Pakistan Standard Time, with simultaneous access available online for participants joining from Cairo at 4:30 PM, Geneva at 3:30 PM, and Washington at 9:30 AM. Registration is open here.
The webinar will bring together distinguished international experts to discuss the practical application of artificial intelligence across epidemiology, public health surveillance, and health emergency preparedness and response. Discussions will cover artificial intelligence literacy, ethics in health-related AI deployment, and a shared vision for how AI tools can be responsibly integrated into health emergency frameworks at national and regional levels. The involvement of the World Health Organization Eastern Mediterranean Region gives the session a multilateral dimension, drawing expertise and perspectives from across a region that spans over 20 countries and faces a wide range of public health challenges where AI-enabled solutions could have meaningful impact.
The collaboration between a Pakistani engineering institution, an international development organisation, and a World Health Organization regional office is a notable combination, reflecting the increasingly cross-disciplinary nature of artificial intelligence in public health. Engineering expertise in machine learning and data systems, public health knowledge in epidemiological modeling, and international governance frameworks for health emergencies are all necessary components of any serious effort to deploy AI responsibly in this domain. For Pakistan, where public health infrastructure and early warning systems for disease outbreaks have historically been under-resourced, the conversation around AI-enabled epidemiology and health preparedness is particularly timely, especially as the country continues to work toward strengthening its pandemic and health emergency response capacity in the aftermath of lessons learned during recent global health crises.
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