Colloquium: The Next Frontier in Medical Data 2026
5 May 2026 - 5 May 2026
9:30AM - 5:00PM
Ogden Centre for Fundamental Physics (Ogden West Building) Durham University South Road Durham DH1 3LE United Kingdom
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Free event - registration required
Join researchers from across the North East and beyond as we build bridges between the physical sciences, mathematics, and health & life sciences. This one-day colloquium showcases ongoing interdisciplinary research and fosters new collaborations to tackle the most pressing challenges in healthcare.
Kindly sponsored by the Science and Technology Facilities Council and Durham University, 'The Next Frontier in Medical Data 2026' is a one-day colloquium bringing together researchers from across Durham, Newcastle, and the wider North East region (spanning mathematics, physics, statistics, and health & life sciences) to explore interdisciplinary approaches to healthcare challenges.
As healthcare systems worldwide generate unprecedented volumes of complex data (from genomic sequences to medical imaging), there is an urgent need for sophisticated analytical methods. This conference showcases how techniques from mathematical modeling, statistical inference, machine learning, and computational physics are driving breakthroughs in diagnosis, treatment optimisation, and drug discovery.
Our goal is to spotlight successful interdisciplinary collaborations already underway, and to create a space where new partnerships between physical scientists and life/health scientists can take root. The colloquium provides a platform for knowledge exchange, networking, and identifying shared research questions at the interface of these disciplines.
Conference Themes
- 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
Who Should Attend?
This colloquium is designed for:
- Researchers in mathematics, physics, and statistics (whether already collaborating on biomedical problems or curious to explore)
- Computational biologists and bioinformaticians
- Researchers in health and life sciences interested in quantitative and computational approaches
- PhD students and postdocs in quantitative sciences or medicine
- Industry professionals in medical technology and pharmaceuticals
- Healthcare data scientists and analysts
Pricing
To register to attend please visit https://theory-to-therapy.github.io/registration.html