Overview OSRC Research
OSRC is an open platform to explore, develop and validate new tools for medical research, built by multi-disciplinary teams and encouraging spin-off startups. Full project details, teams and progress are open to OSRC members.
01
Computer simulation models
Constructing computer-based representations of biomedical systems to predict disease genesis and spread, supporting clinical and policy decisions.
02
AI in abdominal radiology
Deep learning for medical image analysis: recognising complex patterns and turning qualitative radiographic assessment into quantitative measurement.
03
Computer vision in surgery
Using computer vision to analyze surgical video, supporting training and quality review in the operating theatre.
04
Synthetic data
Generating synthetic and augmented datasets to overcome the scarcity of annotated medical data needed to train AI models.
05
Big data
Mining large, fast-changing, hard-to-validate datasets using machine-learning and multivariate statistical techniques.
06
Search engine
Tools to navigate electronic patient records, which can otherwise be cumbersome and disruptive to clinical workflow.
07
Crowd science
Open collaborative research where participation is open to a wide base of contributors and data is shared openly.
08
Bioinformatics research
Applying computational methods to biological and genomic data in support of clinically oriented research.
09 · MEMBERS ONLY
Human anatomy project
An ambitious project to map human anatomy worldwide from donor imaging: think of it as a worldwide genome project for surgical simulation.
Research is built by teams, not individuals
Every OSRC project runs as a multi-disciplinary team with agile project management: clinicians define the question, data scientists and engineers build the tools, and junior members are mentored through analysis and writing.