Multimodal ML for lung cancer

Project ‘Miracle’

The MIRACLE project is developing an innovative multimodal machine learning approach combining clinical, biological and radiological data to identify patients with early-stage resected non-small-cell lung cancer who have a higher risk of relapse. We use the latest methods in multi-omics integration, deep learning, survival analysis and explainable AI to predict disease-free survival with high accuracy and fairness.

Rashika Jakhmola
Rashika Jakhmola
Research Assistant
David Antony Selby
David Antony Selby
Senior Researcher

My research interests include latent variable modelling, reproducibility, citation networks and applications of statistics and machine learning to healthcare.

Sebastian Vollmer
Sebastian Vollmer
Professor for Applications of Machine Learning

My research interests lie at the interface of applied probability, statistical inference and machine learning.