Marie Skłodowska Curie Actions Innovative Training Network project with the working title: classification of IVD radiological signs and relation with SNP & multi-omics profiles.
The focus is on developing machine learning based prediction and severity assessment models for intervertebral disc (IVD) degeneration. The primary aim will be to combine radiomic features from magnetic resonance (MR) images, omics data, and other background data of patients in order to discover multiple phenotypes of IVD degenerative disease. In this project, we will leverage patient material from TwinsUK and Northern Finland Birth Cohort datasets.