By Olaoye Oyewole & Wuraola Dada The Federal University of Agriculture, Abeokuta (FUNAAB), has recorded another milestone with the official launch of the Artificial Intelligence Applications for One Health (AIA4OneHealth) research hub. The initiative,
The Federal University of Agriculture, Abeokuta (FUNAAB), through the Artificial Intelligence Applications for One Health (AIA4OneHealth) research group in the Department of Computer Science, is set to officially launch two pioneering research projects aimed
As part of our stakeholders’ engagement efforts, a strategic meeting was held with the Ogun State Government to discuss a potential partnership with AI4OneHealth (AI4PEP Nigeria).The meeting focused on:Key Areas of CollaborationMutual ExpectationsThe Process
We are pleased to share that the AIA4OneHealth project team held a second strategic engagement meeting with the Ogun State Ministry of Health team. We appreciate the ministry’s proactive engagement and commitment to this
We are pleased to share that the AIA4OneHealth project team held a strategic engagement meeting with the Department of Community Medicine at Babcock University Teaching Hospital, Ilishan-Remo, on Tuesday, August 5, 2025. We appreciate
Artificial Intelligence Applications for One Health (AIA4OneHealth), a research hub based in the Department of Computer Science, Federal University of Agriculture, offers two fully funded Ph.D programme in Computer Science, with specialisation in Artificial
Outline Introduction: The silo problem in health research Multi-stakeholder data sharing frameworks AI tools that respect privacy and governance Spotlight: A successful human-veterinary collaboration Best practices for interdisciplinary teamwork Conclusion: Toward a unified One
Outline Introduction: Why environmental data matters Sensors, satellites, and AI: A powerful triad From air-quality anomalies to disease risk maps Community engagement through citizen science Building scalable monitoring platforms Conclusion: The future of a
Outline Introduction: The rising threat of zoonoses How AI models spot signals in animal health data Case study: Predicting avian influenza hotspots Integrating human–animal–environment data streams Roadmap for deployment in low-resource settings Conclusion: Toward
