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Olugbemi. Adeyinka Ogunleye
4 weeks ago
Overview
Adejumo Develops Advanced Retinal Image Processing Techniques for Early Detection of Diabetic Eye Diseases
A Biomedical Engineering Researcher at the University of Illinois Chicago, Tobiloba Adejumo, has developed imaging methods for classifying retinal blood vessels, providing a critical foundation for advancing early detection of diabetic eye disease.
In a note shared with a national daily, Adejumo emphasized that technology must meet the environments it is intended to serve.
Diabetic retinopathy is the most common eye disease caused by diabetes and a leading cause of vision impairment and blindness worldwide. Globally, millions are affected, with some regions, such as Africa, experiencing particularly high prevalence rates according to a scientific report published in Nature.
Adejumo’s work focuses on improving diagnostic tools for diabetic retinopathy, a condition that can lead to blindness if untreated. By advancing image processing techniques and integrating them with artificial intelligence approaches, he aims to enhance the accuracy and accessibility of retinal exams, enabling earlier intervention and diagnosis.
“Innovation is only meaningful when it addresses the practical realities of clinical practice worldwide,” he said, highlighting the importance of creating tools that can be used effectively in real-world healthcare settings.
Adejumo’s academic journey began in computer science, which provided him with a strong technical foundation. This experience, combined with his leadership in educational technology programmes, eventually led him to focus on biomedical engineering.
More: https://www.thisdaylive.com/index.php/2025/04/28/adejumo-develops-advanced-retinal-image-processing-techniques-for-early-detection-of-diabetic-eye-diseases/
