Bibliographic Details
| Title: |
Response to letter to the editor: Authors response to comment on "Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features". |
| Authors: |
Petracca M; Department of Human Neurosciences, Sapienza University of Rome, Italy., Cocozza S; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy., Cuocolo R; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy. Electronic address: rcuocolo@unisa.it. |
| Source: |
Journal of the neurological sciences [J Neurol Sci] 2026 Jun 15; Vol. 485, pp. 125887. Date of Electronic Publication: 2026 Mar 27. |
| Publication Type: |
Letter |
| Journal Info: |
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0375403 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5883 (Electronic) Linking ISSN: 0022510X NLM ISO Abbreviation: J Neurol Sci Subsets: MEDLINE; In Process |
| Database: |
MEDLINE Ultimate |
