HORIZON-HLTH-2027-03-TOOL-04 | AI and Medical Imaging Expertise for Virtual Human Twins in Oncology

Expertise offered

The IPO Porto Research Center (CI-IPOP), part of the Portuguese Oncology Institute of Porto (Portugal), is interested in participating as a research and clinical partner in European consortia addressing HORIZON-HLTH-2027-03-TOOL-04: Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis.

CI-IPOP provides a multidisciplinary research environment combining clinical and translational oncology research with expertise in medical imaging, artificial intelligence, and data-driven methodologies.

Our expertise includes:

• Artificial Intelligence, Machine Learning and Deep Learning for medical image analysis;

• Medical image preprocessing, segmentation and quantitative feature extraction;

• Radiomics and imaging biomarker development;

• Integration of medical imaging and clinical data;

• Predictive modelling and statistical analysis;

• Evaluation of AI models, including robustness, generalisability, explainability and calibration;

• Development and assessment of AI-based clinical decision support methodologies.

Potential contribution to the call

We are particularly interested in contributing to multidisciplinary approaches combining AI, medical imaging and patient-specific data within Virtual Human Twin frameworks for cancer prevention and diagnosis.

Potential contributions include the development and evaluation of AI components, quantitative imaging methodologies, multimodal data analysis, and collaboration with clinical teams on the evaluation of clinically meaningful outcomes.

Our contribution would complement expertise in multiscale computational modelling, physiological simulation and the integration of patient-specific Virtual Human Twins into clinical workflows.

Partners sought

We are interested in collaborating with:

• Universities and research centres specialising in computational modelling and Virtual Human Twins;

• Hospitals and clinical research institutions with expertise in oncology;

• Research teams developing multimodal and explainable AI methodologies;

• Technology companies working on medical imaging, interoperability and clinical decision support;

• Consortia seeking partners with experience in AI-based medical imaging and clinical oncology research.

Expected role

Research and clinical partner contributing expertise in artificial intelligence, medical imaging, predictive modelling and evaluation methodologies within a multidisciplinary Horizon Europe consortium.

We welcome discussions with prospective coordinators and partners interested in developing collaborative proposals for the Horizon Europe Cluster 1 Health 2027 calls.