The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis

The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis

As of today, 20 disease-modifying drugs (DMDs) have been approved for the treatment of relapsing multiple sclerosis (MS) and, based on their efficacy, they can be grouped into moderate-efficacy DMDs and high-efficacy DMDs. The choice of the drug mostly relies on the judgment and experience of neurol...

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Bibliographic Details
Main Authors: Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Alessandro Parasiliti Palumbo, Giuseppe Sgroi, Santo Motta, Davide Maimone
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Cells
Subjects:
computational modeling
agent-based modeling
systems biology
multiple sclerosis
immunity
degenerative disease
Online Access:https://www.mdpi.com/2073-4409/9/3/586

Internet

https://www.mdpi.com/2073-4409/9/3/586

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