UGent - Ghent University
Artificial intelligence for early detection of spondyloarthritis in medical imaging: development and validation of novel CT and MRI use cases for clinical practice.
Ondersteund project van Jans Lennart : This project entails the further data collection for clinical validation studies of an MRI and CT use case for early detection of spondyloarthritis, based on artificial intelligence. We will segment and annotate data collected in national and international hospitals, guide the algorithm development and survey the technical and regulatory requirements up to full implementation in clinical practice as a cloud-based and globally accessible application.
Kregen ook steun
KU Leuven (RA Clinical Research Group, Skeletal Biology and Engineering Research Centre, Department of Development and Regeneration, KU Leuven)
What is the optimal tapering strategy for rituximab in patients with Rheumatoid Arthritis: comparison of interval prolongation with disease activity guided dose reduction
Ondersteund project van Patrick Verschueren : Rituximab is an effective drug, but it is expensive and might be accompanied by an increased infection risk. Therefore, lowering the…
Anti-UH-RA antibody reactivity for prediction of response to first-line therapy in rheumatoid arthritis: validation in the independent CAP48 cohort
Ondersteund project van Patrick Van Dormael : Recently, baseline antibodies against 3 University Hasselt (UH)-RA antigens were found to be predictive for failure to achieve respo…
The prevalence of spondyloarthritis-like structural lesions of the sacroiliac joints on MRI in postpartum women.
Ondersteund project of Filip Van den Bosch : A former study in 35 healthy postpartum women showed prevalence of sacroiliac bone marrow edema (BME) on magnetic resonance (MRI), re…