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He earned a PhD in Neuroscience from the Catholic University of the Sacred Heart in Rome, where his research centered on the application of magnetic resonance imaging (MRI) to FSHD. His work was instrumental in characterizing patterns of muscle involvement, mapping the natural history of disease progression, and identifying potential imaging biomarkers of disease activity, tools that are now increasingly considered as possible surrogate endpoints in clinical trials.
Dr. Monforte is actively engaged in a range of international research collaborations and network initiatives aimed at advancing diagnostic tools, increasing the use of imaging in the neuromuscular community, facilitating earlier intervention and improving clinical trial readiness for patients with FSHD.
In recent years, he has developed growing expertise in the field of artificial intelligence, particularly in applying machine learning algorithms to muscle imaging data. His current projects aim to leverage AI to predict disease progression and personalize monitoring strategies.