Research > Focus C > Work Packages C02
Summary
The aim of this project is to validate and improve novel high-throughput analyses of medical imaging data with machine- and deep learning algorithms for predictive modelling, identification of molecularly, metabolically and immunologically distinct imaging phenotypes and automated tumour response assessment in patients with glioma. The project strives to improve and refine treatment delivery and non-invasive treatment monitoring of patients with glioma by generating prognostic and predictive imaging biomarkers. The visual abstract below shows the aims and planned tasks of the work package.