Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features.
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| Title: | Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features. |
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| Authors: | Ianniello A; Department of Human Neurosciences, Sapienza University of Rome, Italy; Multiple Sclerosis Center, San Pietro Fatebenetratelli, Rome, Italy., Barbuti E; Department of Human Neurosciences, Sapienza University of Rome, Italy., Capobianco MF; Department of Neurosciences and Reproductive and Odontostomatological Sciences, University 'Federico II', 80131 Naples, Italy., Tranfa M; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy; Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands., Miele C; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy., Ruggieri S; Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy., Pontillo G; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy; Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK., Cocozza S; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy., Pantano P; Department of Human Neurosciences, Sapienza University of Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy., Pozzilli C; Department of Human Neurosciences, Sapienza University of Rome, Italy., Cuocolo R; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy. Electronic address: rcuocolo@unisa.it., Petracca M; Department of Human Neurosciences, Sapienza University of Rome, Italy. |
| Source: | Journal of the neurological sciences [J Neurol Sci] 2026 Apr 15; Vol. 483, pp. 125846. Date of Electronic Publication: 2026 Feb 28. |
| Publication Type: | Journal Article |
| 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 |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41780422 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ianniello+A%22">Ianniello A</searchLink>; Department of Human Neurosciences, Sapienza University of Rome, Italy; Multiple Sclerosis Center, San Pietro Fatebenetratelli, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Barbuti+E%22">Barbuti E</searchLink>; Department of Human Neurosciences, Sapienza University of Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Capobianco+MF%22">Capobianco MF</searchLink>; Department of Neurosciences and Reproductive and Odontostomatological Sciences, University 'Federico II', 80131 Naples, Italy.<br /><searchLink fieldCode="AU" term="%22Tranfa+M%22">Tranfa M</searchLink>; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy; Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Miele+C%22">Miele C</searchLink>; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.<br /><searchLink fieldCode="AU" term="%22Ruggieri+S%22">Ruggieri S</searchLink>; Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Pontillo+G%22">Pontillo G</searchLink>; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy; Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Cocozza+S%22">Cocozza S</searchLink>; Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy.<br /><searchLink fieldCode="AU" term="%22Pantano+P%22">Pantano P</searchLink>; Department of Human Neurosciences, Sapienza University of Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy.<br /><searchLink fieldCode="AU" term="%22Pozzilli+C%22">Pozzilli C</searchLink>; Department of Human Neurosciences, Sapienza University of Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Cuocolo+R%22">Cuocolo R</searchLink>; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy. Electronic address: rcuocolo@unisa.it.<br /><searchLink fieldCode="AU" term="%22Petracca+M%22">Petracca M</searchLink>; Department of Human Neurosciences, Sapienza University of Rome, Italy. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220375403%22">Journal of the neurological sciences</searchLink> [J Neurol Sci] 2026 Apr 15; Vol. 483, pp. 125846. <i>Date of Electronic Publication: </i>2026 Feb 28. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0375403 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-5883 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220022510X%22">0022510X </searchLink><i>NLM ISO Abbreviation: </i>J Neurol Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41780422 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jns.2026.125846 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 125846 Titles: – TitleFull: Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ianniello A – PersonEntity: Name: NameFull: Barbuti E – PersonEntity: Name: NameFull: Capobianco MF – PersonEntity: Name: NameFull: Tranfa M – PersonEntity: Name: NameFull: Miele C – PersonEntity: Name: NameFull: Ruggieri S – PersonEntity: Name: NameFull: Pontillo G – PersonEntity: Name: NameFull: Cocozza S – PersonEntity: Name: NameFull: Pantano P – PersonEntity: Name: NameFull: Pozzilli C – PersonEntity: Name: NameFull: Cuocolo R – PersonEntity: Name: NameFull: Petracca M IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: 2026 Apr 15 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1878-5883 Numbering: – Type: volume Value: 483 Titles: – TitleFull: Journal of the neurological sciences Type: main |
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