Lab profile
About Biomedical Spatial Science Team
The team elucidates novel knowledge through spatial and biomedical interpretation of multidimensional data using analytical frameworks that traverse mathematical modelling, machine learning, and the life sciences. They aim to discover unidentified disease mechanisms, develop new therapies, and optimize individualized treatments through AI-driven analysis of medical images and comprehensive medical data.
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
- Defining the Critical View of Safety and Safe Steps for Parametrial Transection in Minimally Invasive Hysterectomy: A Delphi Consensus Study.Journal of minimally invasive gynecology · 2026
- Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.Virchows Archiv : an international journal of pathology · 2026
- Safety-Oriented Evaluation of Large Language Models in Health Care: Guideline-Informed Systematic Review.Online journal of public health informatics · 2026
03 · Updates
Updates and lab news
News and events from the lab’s own site.
- Integration of Electronic Medical Records and AIPublicationJun 13, 2023
04 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
05 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.