Grant Extension and New Grant for Prof. Granziera
Prof. Cristina Granziera, Senior Physician in Neurology and Head of the Translational Imaging in Neurology (ThINk) research group in the DBE and RC2NB, has been awarded a 2-year extension to her SNF-funded professorship in recognition of her achievements to date and a grant for a project called "MSxplain: Explaining AI decisions in personalized healthcare: towards integration of deep learning into diagnosis and treatment planning for Multiple Sclerosis".
Granziera’s main research project entitled INsIDER-RAP (ImagiNg the Interplay between Axonal DamagE and Repair in Multiple Sclerosis - Remyelinating lesions And Pathways) will be supported with an additional CHF 800,000. It will be conducted in collaboration between the Department of Biomedical Engineering (DBE) at the University of Basel, the Neurology Department and the and Multiple Sclerosis Center at the University Hospital Basel. It aims at developing and evaluating new imaging methods using artificial intelligence. This will allow to characterize disease-related tissue changes in the brain and spinal cord of people with multiple sclerosis and similar neuroimmunological diseases more precisely without burdening the affected individuals. This is an essential prerequisite for the development of new, more targeted therapies. Prof Granziera's research has already made numerous important contributions to the development of new imaging biomarkers of remyelination and axonal damage in patients with multiple sclerosis and has led to highly regarded publications in peer-reviewed journals. These new biomarkers are increasingly finding their way into clinical evaluation and treatment planning in MS and degenerative CNS diseases, both in research and in the work of the MS Clinical Center.
Granziera also recently received another grant of 410,000 CHF for her project "MSxplain: Explaining AI decisions in personalized healthcare: towards integration of deep learning into diagnosis and treatment planning for Multiple Sclerosis". The project is carried out in collaboration with researchers from the University of Lausanne (PD MER M. Bach Cuadra and Prof. A. Depeursinge), the University of Applied Sciences Western Switzerland (HES-SO Valais-Wallis) and the University of Geneva (Prof. H. Muller), who contribute their expertise in deep learning for this purpose.