Navigating the future of cancer care through multimodal AI — guiding patients, clinicians, and researchers toward better outcomes.
Cancer Compass is a proposed national excellence cluster led by Karolinska Institutet, bringing together leading researchers in oncology, artificial intelligence, and data science to fundamentally transform how cancer is diagnosed and treated.
The cluster will develop multimodal agentic AI that integrates imaging, genomics, pathology, and clinical data to map each patient's unique disease trajectory. By combining cutting-edge deep learning with causal reasoning and explainability, Cancer Compass aims to build AI that clinicians can understand, trust, and act on.
Proposed under the Swedish Research Council (VR) and Vinnova Excellence Clusters for Groundbreaking Technologies initiative, the cluster would span academia, healthcare, and industry — connecting Sweden's most comprehensive cancer cohorts with world-class AI research.
Anchored in Sweden's world-leading STHLM0/3-MRI and ProBio cohorts, spanning 37 hospitals across four countries, with over 15 years of longitudinal data.
Integrating mammography, MRI, and genomic biomarkers across the ScreenTrust cohorts, led by world-class breast radiology expertise at KI.
Leveraging the ALSCCA cohort with colonoscopy AI, CT/MRI imaging, and molecular markers including MSI, KRAS, and BRAF profiling.
Cancer Compass would connect some of the most comprehensive cancer cohorts in the world, combining clinical records, multi-omics data, imaging, and pathology at a scale that makes genuine AI breakthroughs possible.
The cluster would also encompass ethics, law, and patient equity — ensuring that AI innovation in oncology remains trustworthy, transparent, and fair.
Cancer Compass unites researchers from seven of Sweden's leading universities, working across oncology, AI, ethics, regulatory science, and innovation. The proposal is backed by formal Letters of Intent from industry, healthcare providers, patient organisations, and strategic partners — all committed to advancing AI-driven cancer care.