About the Colloquium
The Next Frontier in Medical Data 2026 brings together an interdisciplinary community to address the growing challenges and opportunities in medical data science. As healthcare challenges grow increasingly complex, methods from mathematics, physics, and computational sciences offer powerful, and often underexplored, complementary perspectives. This meeting brings together local researchers already working at this interface alongside those keen to start, showcasing successful interdisciplinary projects and planting the seeds for future collaborations.
Key Topics Include:
- Interdisciplinary Case Studies: Examples of ongoing and past collaborations between physical and life sciences
- Mathematical Oncology: Models of tumor growth, evolution, and treatment response
- Machine Learning for Healthcare: Machine learning/AI for medical imaging, diagnosis, and prognosis
- Bayesian Methods: Statistical inference for personalised medicine and clinical trials
- Computational Biology: Systems approaches to understanding disease mechanisms
- Physics-Informed Modelling: Incorporating physical laws into medical data analysis
- Clinical Translation: Pathways from theoretical innovation to patient care
This colloquium aims to strengthen the local interdisciplinary community, connecting researchers in physical sciences and mathematics with those in health and life sciences to catalyse new collaborations from theoretical innovation to therapeutic impact.
This event is kindly supported by the Astronomy Workshop support grant from UKRI STFC and the Developing Talents Award from the Department of Physics at Durham University.
Latest News
- March 2026: Confirmed speakers and panelists announced. Check out their profiles here.
- February 2026: Conference website launched. Save the date: May 5, 2026 at Durham University.
