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Two grants for LUMC on AI for precision diagnostics

Two AI research projects receive funding; one in the field of oncology and one in the field of cardiology.

Two AI research grants have been awarded to LUMC researchers.

The first project, named AIR-MEC aims to develop advanced AI technology to improve personalised treatment approached for endometrial cancer patients based on microscopic tumour images. It is funded by the Hanarth foundation and headed by dr. Tjalling Bosse, department of Pathology and will be executed in collaboration with dr Jouke Dijkstra (dept of Radiology) and prof dr Carien Creutzberg (dept. of radiotherapy). AIR-MEC aims to develop AI technology to aid and improve risk of recurrence predictions that are currently based on molecular and pathology factors.

The second project is led by dr Rob van der Geest, and aims to develop AI technology for automated extraction of cardiac features from CT and MR imaging data. These can then  be used for patient specific prediction of therapy response and cardiac mortality in a wide range of cardiac pathologies. A large database of > 14k MR/CT exams is available for the development and evaluation of the AI technology. It is a collaboration with the University of Sheffield and is sponsored by the UK National Institute for Health Research (NIHR).
Dr. Jouke Dijkstra and dr. Rob van der Geest are both from the Lab Clinical and Experimental Image Processing (LKEB), a large research lab at the Department of Radiology with ample experience with developing novel AI technologies for medical imaging based on deep learning.

These two newly granted projects are an important step to further strengthen the use of AI for precision medicine, and is embedded in the Leiden University AI research program SAILS.

MRI images of the heart. The contours have been automatically coloured by using Deep Learning
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