Lab profile
About BioMedIA
BioMedIA develops novel computational techniques for analyzing biomedical images, focusing on algorithms for image acquisition, analysis and interpretation including registration, reconstruction, tracking, segmentation and modelling. The group applies machine learning to extract clinically useful information from medical images for computer-aided detection, diagnosis, treatment planning, and guided interventions, with particular emphasis on brain development, dementia, stroke, traumatic brain injury, and cardiovascular disease.
01 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
02 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- VERIDAH: solving enumeration anomaly-aware vertebra labeling across imaging sequences.European radiology · 2026
- Skill-guided agentic reasoning enables longitudinal synthesis of myeloma records at expert-level concordance.NPJ precision oncology · 2026
- Publisher Correction: Sleep chart of biological ageing clocks in middle and late life.Nature · 2026
Clinical-trial records
- Deciphering AMD by Deep Phenotyping and Machine Learning- Prospective Study - SUMMIT (Part 2)NCT06682455 · Enrolling by invitation
03 · Updates
Updates and lab news
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04 · Official presence
Lab sources and channels
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05 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.