The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis
- DOI
- 10.3390/cells9030586
- Published
- 2020-03-01
- Container
- Cells
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/cells9030586,
title = {The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis},
author = {Francesco Pappalardo and Giulia Russo and Marzio Pennisi and Giuseppe Alessandro Parasiliti Palumbo and Giuseppe Sgroi and Santo Motta and Davide Maimone},
year = {2020},
journal = {Cells},
doi = {10.3390/cells9030586},
url = {https://doi.org/10.3390/cells9030586}
}RIS
TY - JOUR TI - The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis AU - Francesco Pappalardo AU - Giulia Russo AU - Marzio Pennisi AU - Giuseppe Alessandro Parasiliti Palumbo AU - Giuseppe Sgroi AU - Santo Motta AU - Davide Maimone PY - 2020 JO - Cells DO - 10.3390/cells9030586 UR - https://doi.org/10.3390/cells9030586 ER -
APA
Pappalardo, F., Russo, G., Pennisi, M., Palumbo, G. A. P., Sgroi, G., Motta, S., & Maimone, D. (2020). The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis. Cells. https://doi.org/10.3390/cells9030586
Source records
- crossref · retrieved 2026-09-24T17:00:55.130Z