Tumour cells can differ greatly both between patients (inter-tumour heterogeneity) and within patients (intra-tumour heterogeneity). These differences affect how patients respond to cancer therapy and hampers wide deployment of personalised medicine for cancer treatment. PREDICT is an Innovative Training Network that will educate 15 Early Stage Researcher (ESRs) in the fields of radiomics and personalised medicine. These ESRs will be trained to use big data analytics on large amounts of radiographic images to determine tumour heterogeneity and predict how patients will respond to treatment. This project will run from October 2017 until September 2021. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766276.