Explore practical ways to combine biomedical data for cancer and cardiac research. Hosted by the PyKale organisation, MDAS brings researchers and clinicians together to learn an analysis pipeline and apply it to a research problem.
| Date | Attendee programme | Venue |
|---|---|---|
| Wednesday, 18 November 2026 | 13:00–17:00 | Regent Court, University of Sheffield |
Venue: Regent Court, University of Sheffield. The Diamond, Workroom 3 (Room 205), is a possible alternative venue. The final location will be confirmed with registered participants.
- Getting Started: prepare your laptop and choose your software environment.
- What is MDAS?: explore the purpose, audience and learning goals.
- Session Agenda: see the two learning blocks and timings.
- Tutorials: choose Cancer or Cardiac and begin the hands-on activities.
Important
Synthetic examples demonstrate software workflows, not clinical predictive performance. Use clinical data only with appropriate permissions and secure infrastructure; do not upload identifiable patient data, confidential material or private datasets to public services or this repository.