A Nigerian-born researcher, Kamorudeen Abiola Taiwo, is gaining international recognition for his groundbreaking work in using artificial intelligence (AI) to predict and prevent chronic diseases, reshaping the landscape of global health science.
Based at Bowling Green State University in the United States, Taiwo’s work combines advanced data science with public health policy to create AI-driven systems capable of detecting illnesses such as cardiovascular disease, diabetes, cancer, and Alzheimer’s before symptoms appear.
His latest study, “AI in Population Health: Scaling Preventive Models for Age-Related Diseases in the United States,” published in the International Journal of Science and Research Archive (2025), proposes a new framework for integrating AI into public health systems. The model, according to the study, can achieve over 80 per cent diagnostic accuracy while cutting healthcare costs by as much as 30 per cent — a breakthrough that could make preventive healthcare more efficient and accessible.
Beyond its technical achievement, Taiwo’s research is driven by a humanitarian vision. By merging machine learning with epidemiological and economic modelling, he aims to address the growing burden of chronic diseases among ageing and underserved populations. His work is now being studied by policymakers seeking ways to make digital health innovation both ethical and equitable.
A senior U.S. public health official who reviewed the publication described Taiwo as “one of the rare thinkers who bridges data science with the public good,” noting his ability to transform complex algorithms into practical healthcare strategies.
Taiwo’s influence extends beyond health analytics. His earlier research on intelligent supply chain systems using Internet of Things (IoT) technologies and predictive AI established his reputation for applying data science to real-world challenges. Colleagues describe him as meticulous and visionary, with a rare capacity to combine research excellence with social purpose.
Currently, he is leading projects on federated learning and privacy-preserving AI — technologies that enable healthcare institutions to share and analyse medical data securely without breaching patient confidentiality. These efforts have positioned him among the emerging global voices in ethical AI for medicine.
As artificial intelligence continues to redefine healthcare delivery, Taiwo’s work stands as evidence of Africa’s growing contribution to cutting-edge science — a blend of innovation, integrity, and compassion aimed at building a healthier world through technology.
