Author Correction: Serum GFAP as a biomarker for disease severity in multiple sclerosis
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
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Author Correction: Serum GFAP as a biomarker for disease severity in multiple sclerosis ; volume:9 ; number:1 ; day:5 ; month:6 ; year:2019 ; pages:1-2 ; date:12.2019
Scientific reports ; 9, Heft 1 (5.6.2019), 1-2, 12.2019
- Classification
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Allgemeines, Wissenschaft
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-019-43990-1
- URN
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urn:nbn:de:101:1-2019092405183810962078
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Abdelhak, Ahmed
- Huss, A.
- Kassubek, J.
- Tumani, H.
- Otto, Markus
- SpringerLink (Online service)
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Serum GFAP as a biomarker for disease severity in multiple sclerosis
Serum GFAP in multiple sclerosis: correlation with disease type and MRI markers of disease severity
Glial activation markers in CSF and serum from patients with primary progressive multiple sclerosis: potential of serum GFAP as disease severity marker?
Plasma GFAP as a prognostic biomarker of motor subtype in early Parkinson’s disease
Das Gliafaserprotein (GFAP) in Hirntumoren
Entopallium Lost GFAP Immunoreactivity during Avian Evolution: Is GFAP a “Condition Sine Qua Non”?
Advances in biomarker research in multiple sclerosis
Nutzen von GFAP und S100B als prädiktiver Biomarker für neurologische Komplikationen bei Patienten mit einem Herzunterstützungssystem
GFAP-Negative Subcutaneous Sacrococcygeal Extraspinal Ependymoma
Predictors of severity and outcome of multiple sclerosis relapses
Predicting multiple sclerosis severity with multimodal deep neural networks
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Serum GFAP as a biomarker for disease severity in multiple sclerosis
Serum GFAP in multiple sclerosis: correlation with disease type and MRI markers of disease severity
Glial activation markers in CSF and serum from patients with primary progressive multiple sclerosis: potential of serum GFAP as disease severity marker?
Plasma GFAP as a prognostic biomarker of motor subtype in early Parkinson’s disease
Das Gliafaserprotein (GFAP) in Hirntumoren
Entopallium Lost GFAP Immunoreactivity during Avian Evolution: Is GFAP a “Condition Sine Qua Non”?
Advances in biomarker research in multiple sclerosis
Nutzen von GFAP und S100B als prädiktiver Biomarker für neurologische Komplikationen bei Patienten mit einem Herzunterstützungssystem
GFAP-Negative Subcutaneous Sacrococcygeal Extraspinal Ependymoma
Predictors of severity and outcome of multiple sclerosis relapses
Predicting multiple sclerosis severity with multimodal deep neural networks