Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning.
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| Title: | Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning. |
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| Authors: | Gebre RK; Department of Radiology, Mayo Clinic, Rochester, MN, USA. gebre.robelkebede@mayo.edu., Raghavan S; Department of Radiology, Mayo Clinic, Rochester, MN, USA., De Tora MEJ; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Fought AJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Reid RI; Department of Information Technology, Mayo Clinic, Rochester, MN, USA., Low PA; Department of Neurology, Mayo Clinic, Rochester, MN, USA., Singer W; Department of Neurology, Mayo Clinic, Rochester, MN, USA. Singer.Wolfgang@mayo.edu., Vemuri P; Department of Radiology, Mayo Clinic, Rochester, MN, USA. Vemuri.Prashanthi@mayo.edu. |
| Source: | Scientific reports [Sci Rep] 2026 Mar 30; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41912595 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gebre+RK%22">Gebre RK</searchLink>; Department of Radiology, Mayo Clinic, Rochester, MN, USA. gebre.robelkebede@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Raghavan+S%22">Raghavan S</searchLink>; Department of Radiology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22De+Tora+MEJ%22">De Tora MEJ</searchLink>; Department of Radiology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Fought+AJ%22">Fought AJ</searchLink>; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Reid+RI%22">Reid RI</searchLink>; Department of Information Technology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Low+PA%22">Low PA</searchLink>; Department of Neurology, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Singer+W%22">Singer W</searchLink>; Department of Neurology, Mayo Clinic, Rochester, MN, USA. Singer.Wolfgang@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Vemuri+P%22">Vemuri P</searchLink>; Department of Radiology, Mayo Clinic, Rochester, MN, USA. Vemuri.Prashanthi@mayo.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Mar 30; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Mar 30. – 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="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41912595 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-45949-5 Languages: – Code: eng Text: English Titles: – TitleFull: Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gebre RK – PersonEntity: Name: NameFull: Raghavan S – PersonEntity: Name: NameFull: De Tora MEJ – PersonEntity: Name: NameFull: Fought AJ – PersonEntity: Name: NameFull: Reid RI – PersonEntity: Name: NameFull: Low PA – PersonEntity: Name: NameFull: Singer W – PersonEntity: Name: NameFull: Vemuri P IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 03 Text: 2026 Mar 30 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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