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CAR-T cell therapy is a relatively new type of therapy that yields spectacular results in patients with blood cancer, but it is also expensive, and it does not always succeed. Your goal will be to create, validate and fine-tune a fully automated decision support system that utilizes PET/CT images and clinical data to predict treatment outcome beforehand. This system will provide doctors and patients with advice for the best treatment option. Advanced Artificial Intelligence techniques will be applied to integrate multi-modal data, and Explainable Artificial Intelligence to provide insight into the reasoning of the system.
The project is funded by a grant from the Oncode Accelerator groeifonds program and is a collaboration between the Image Sciences Institute, Radiology, Nuclear medicine, and Hematology-Oncology departments of the UMC Utrecht, as well as other hospitals in the Netherlands.
This research will be conducted at the Image Sciences Institute, housed within the Imaging and Oncology Division of the University Medical Center Utrecht. The division is internationally recognized for its research on image acquisition, image analysis, artificial intelligence, and image-guided interventions, and has one of the largest concentrations of medical imaging researchers in Europe. You will work alongside staff from medical-image analysis, radiologists, hematologists, and a team of PhD students.
Het UMC Utrecht wil bijdragen aan een gezond leven en een gezonde maatschappij, ook voor de generaties na ons. Daarvoor is veel kennis nodig. Als academisch ziekenhuis doen we wetenschappelijk onderzoek naar verschillende ziekten en de werking van onze genen.
Deze bedrijfspagina is automatisch gegenereerd en bevat daarom nog weinig informatie. Je vindt meer informatie over ‘bedrijfsnaam’ op hun website: ‘’Carrierewebsite’’
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