Precision oncology takes a tailored approach to cancer care by developing treatments that target an individual’s tumour. It favours a unified approach to image and genomic data analytics, combined with an appreciation of big data and AI approaches underpinned by a robust understanding of data integration including data security and data ethics. Precision oncology takes advantage of new developments in biomedical medical imaging and omics technologies that will increasingly impact on radiology, oncology, and pathology departments.   
Strategies tailored to the unique biology of a patient’s disease range from the use of targeted therapies to the use of data from next-generation sequencing to select treatments independent of cancer-type. Hence precision oncology is characterised by the need to handle large and diverse oncology datasets across a range of domains from digital imaging and pathology to spatial genomics; and incorporating patient information.  The resulting data presents substantial management and research challenges demanding advanced research skills and an interdisciplinary approach.  IPOCH addresses the growing need to increase knowledge and skills in this area.