Bisi Bode Kolawole

Bisi Bode Kolawole is an Hourly Paid Lecturer in the School of Computer Science and Informatics, affiliated with the Bioscience and Bioengineering Research Centre. His research bridges artificial intelligence and clinical medicine, particularly in gastroenterology and inflammatory bowel disease (IBD). He earned his PhD in Computer Science and Informatics in 2024 and is currently active in developing AI models for endoscopic and histological assessment.

Research Interests:

• Artificial Intelligence in Medicine
• Deep Learning for Medical Imaging
• Multimodal Data Fusion in IBD
• Computer-Aided Diagnosis in Endoscopy
• Quantitative Histology via AI
• Precision Medicine for Ulcerative Colitis

His recent publications (2024–2025) demonstrate a strong trend in applying AI to simultaneously analyze endoscopic and histological data for inflammation detection, therapy response prediction, and disease outcome modeling in IBD. The work often involves collaboration with clinical researchers and is published in high-impact journals such as The Lancet Gastroenterology and Hepatology and Journal of Crohn's and Colitis.

Scientific Contributions:

• Development of the Endo-Histo Foundational Fusion Model
• AI-driven crypt segmentation from endoscopic images
• Ensemble multimodal assessment for inflammation detection
• Switching AI models for simultaneous multimodal image generation

He has advised no students yet and has not received any explicitly mentioned awards. His work contributes to UN Sustainable Development Goal 3: Good Health and Well-Being. He is involved in collaborative research with the PICaSSO Group and other international teams, focusing on translational AI applications in clinical gastroenterology.