Welcome
BioAIm lab is part of the Information, Data & Analysis Section of the School of Computing Science at University of Glasgow. Our main focus is to develop novel, state-of-the-art computational methods to solve challenging problems in biomedical domain. The core expertise of the group is the development of machine learning approaches to analyse medical images, neuro-physiological signals and human motion. While we harness the power of Artificial Intelligence, we strive to develop cutting-edge technologies that safeguard users privacy and promote public trust towards artificial intelligence.
News
Our paper on Differentially Private 2D Human Pose Estimation, has been accepted at IEEE-CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
Our paper on Beat-SSL: Capturing Local ECG Morphology Through Heartbeat-Level Contrastive Learning with Soft Targets, has been accepted as an oral presentation at IEEE International Symposium on Biomedical Imaging (ISBI), 2026.
Our paper on Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning, has been accepted at Scientific Reports 2026.
Our paper on Antipsychotic-induced weight gain in psychosis: causal mediation analysis and feasibility study of causal actionable prediction model development using counterfactuals to target obesity, has been accepted at British Journal of Psychiatry, 2026.
