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Developing Robust Cancer Early Detection Systems under Distribution Shifts and Uncertainty Workshop

Monday, 24 June 2024, 9.30am to 6.00pm
Developing 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, 17 May 2024

  • Abstract submissions (to present a flash-talk or poster): Register here 
  • In-person attendance registration:  Register here (Registrations close Monday, 10 June 2024)
  • Virtual attendance registration: Register here

Confirmed speakers

Panel chairs 

Tentative Schedule

Time 

Activity

09:30 - 09:45

Registration and Welcome Coffee

09:45 - 10:00

Opening Remarks

10:00 - 11:30


 

Session 1: Robust Modelling Approaches 

Keynote and invited speakers followed by a panel discussion

11:30 - 11:45

Coffee Break

11:45 - 13:15

Session 2: Adaptation to and Mitigation of Distribution Shifts

Keynote and invited speakers followed by a panel discussion

13:15 - 14:15

Lunch Break; Networking and poster viewing

14:15 - 14:45

Flash talks (5 min* 6)

14:45 - 16:15

Session 3: Integration of Detection and Warning Mechanisms into Clinical Decision Support Systems

Keynote and invited speakers followed by a panel discussion

16:15 - 16:30

Coffee Break; Networking and poster viewing

16:30 - 16:45

Closing Remarks and Workshop Wrap-Up

16:45 - 18:00

Networking Reception

Organising committee

Dr Samantha Ip, Prof Angela Wood, Prof Antonis AntoniouProf Sach Mukherjee and Dr Juliet Usher-Smith

 

This event will be covered by Springer Nature British Journal of Cancer for a special edition.

 

Sponsors