Cambridge Centre for Robust Cancer Early Detection Systems under Distribution Shifts and Uncertainty Workshop
Overview
Dive into the forefront of cancer research at the "Developing Robust Cancer Early Detection Systems Under Distribution Shifts and Uncertainty" workshop on Monday, 24 June 2024, at Clare College, University of Cambridge. This hybrid event is set to unite a dynamic mix of machine learning experts, statisticians, health data scientists, and clinicians! Together, we'll chart new territories in early cancer detection, leveraging cutting-edge innovations.
The workshop comprises three 90-minute sessions dedicated to robust modeling approaches, navigating distribution shifts, and enhancing clinical decision support with advanced detection systems.
This workshop serves as a catalyst for intellectual exchange, forging new collaborations, inspiring grant proposals, and contributing to a special edition of the Springer Nature's British Journal of Cancer.
Whether you are a researcher, clinician, or a stakeholder in the healthcare ecosystem, your participation will contribute significantly to shaping the future of cancer early detection. We invite you to join us in this essential dialogue and look forward to welcoming you to Cambridge.
Location
Elton-Bowring and Garden Room, Clare College, University of Cambridge
Registrations and Abstract flash-talk or poster submissions
We warmly invite applications to present a flash-talk or poster at this event. The deadline for abstract submissions: Friday, 24 May 2024
- Abstract submissions (to present a flash-talk or poster): now closed
- In-person attendance registration: Register here (Registrations close Monday, 10 June 2024, 10am)
- Virtual attendance registration: Register here
- Speakers and panelists: Register here
Programme
|
Time |
Activity |
|
09:30 |
Registration and Welcome Coffee |
|
09:45 |
Opening Remarks |
|
10:00 |
Session 1: Advancing Clinical Prediction Models in Healthcare: Development, Validation, and Reporting Keynote and invited speakers followed by a panel discussion (Chair: Angela Wood)
|
|
11:20 |
Coffee Break |
|
11:35 |
Session 2: AI in Healthcare: Distribution Shifts and Fairness in AI Healthcare Models Keynote and invited speakers followed by a panel discussion (Chair: Samantha Ip)
|
|
13:20 |
Lunch Break; Networking and poster viewing |
|
14:10 |
Flash talks 6 x 5 minute talks followed by a panel discussion (Chair: Matt Barclay) Ms Helen Zhou (Carnegie Mellon University) (online) |
|
15:05 |
Coffee Break; Networking and poster viewing |
|
15:30 |
Session 3: Generalisability and Causality: Building Robust Prediction Model Keynote and invited speakers followed by a panel discussion (Chair: Nora Pashayan)
|
|
17:15 |
Closing Remarks and Workshop Wrap-Up |
|
17:20 |
Networking Wine and Canape Reception until 18:30 |
Biographies:
Speakers (in alphabetical order)
- Dr Michel Besserve (Max Planck Institute for Intelligent Systems)
- Prof Gary Collins (University of Oxford)
- Dr Marzyeh Ghassemi (MIT)
- Prof Julia Hippisley-Cox (University of Oxford)
- Prof Neil Lawrence (University of Cambridge)
- Prof Sach Mukherjee (University of Cambridge & DZNE)
- Prof Mihaela van der Schaar (University of Cambridge)
- Dr Jessica Schrouff (DeepMind)
Panel chairs
- Dr Matthew Barclay (UCL)
- Dr Samantha Ip (University of Cambridge)
- Prof Nora Pashayan (University of Cambridge)
- Prof Angela Wood (University of Cambridge)
Organising committee
Dr Samantha Ip, Prof Angela Wood, Prof Antonis Antoniou, Prof Sach Mukherjee and Dr Juliet Usher-Smith.
This event will be covered by Springer Nature British Journal of Cancer for a special edition.
