50 years of KPN – Call for participation
The famous paper of Gilles Kahn on KPN, entitled « The semantics of a simple language...
Annonce
Quantifying Multiple Sclerosis Progression with Deep Learning
25 Octobre 2024
Catégorie : Stagiaire
Multiple Sclerosis (MS) is the most widely prevalent chronic disabling disease affecting the central nervous system in young adults. The diagnosis of MS remains largely guided by clinical expertise, as opposed to laboratory findings. Investigations via magnetic resonance imaging (MRI) help by providing diagnostic support and deeper insights. The use of MRI has been particularly important with regards to establishing prognosis and treatment response.
Thus being able to predict the progression of the disease in MS patients with great precision and confidence is invaluable for their medical care.
More info:
https://pageperso.lis-lab.fr/~ronan.sicre/wordpress/wp-content/uploads/2024/10/AI4MS_Summary_v2.pdf
Contact: matthieu.gilson@univ-amu.fr
Multiple Sclerosis (MS) is the most widely prevalent chronic disabling disease affecting the central nervous system in young adults. The diagnosis of MS remains largely guided by clinical expertise, as opposed to laboratory findings. Investigations via magnetic resonance imaging (MRI) help by providing diagnostic support and deeper insights. The use of MRI has been particularly important with regards to establishing prognosis and treatment response.
Thus being able to predict the progression of the disease in MS patients with great precision and confidence is invaluable for their medical care.
More info:
https://pageperso.lis-lab.fr/~ronan.sicre/wordpress/wp-content/uploads/2024/10/AI4MS_Summary_v2.pdf
Contact: matthieu.gilson@univ-amu.fr