Hosted by the 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.
Applications to present a flash-talk or poster at this event close 24 May 2024