Machine learning in medicine
Image: Jesse OrricoApplications of modern machine learning methods to problems in medicine and healthcare.
The Data Science and its Applications research group plays a significant role in several large health research collaborations, including the curATime (Cluster for Atherothrombosis and Individualized Medicine) consortium and the MIRACLE (A Machine learning approach to Identify patients with Resescted non-small-cell lung cAnCer with high risk of reLapsE) project, focussing on methods in genomics and survival analysis, respectively.
Possible topics
- coming soon
Further reading
- TBA
Sebastian Vollmer
Professor for Applications of Machine Learning
My research interests lie at the interface of applied probability, statistical inference and machine learning.
David Antony Selby
Senior Researcher
My research interests include latent variable modelling, reproducible research methods and citation network analysis.