Preventing disease progression in multiple sclerosis—insights from large real-world cohorts

Multiple sclerosis is a chronic neuroinflammatory disease with a highly heterogeneous disease course. Preventing lasting disability requires early identification of persons at risk and novel approaches towards patient stratification for personalized treatment decisions. In this comment, we discuss t...

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Autores principales: Engel, Sinah, Zipp, Frauke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020060/
https://www.ncbi.nlm.nih.gov/pubmed/35440092
http://dx.doi.org/10.1186/s13073-022-01044-8
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author Engel, Sinah
Zipp, Frauke
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Zipp, Frauke
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description Multiple sclerosis is a chronic neuroinflammatory disease with a highly heterogeneous disease course. Preventing lasting disability requires early identification of persons at risk and novel approaches towards patient stratification for personalized treatment decisions. In this comment, we discuss the importance of large datasets of real-world cohorts in order to address this unmet need.
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spelling pubmed-90200602022-04-21 Preventing disease progression in multiple sclerosis—insights from large real-world cohorts Engel, Sinah Zipp, Frauke Genome Med Comment Multiple sclerosis is a chronic neuroinflammatory disease with a highly heterogeneous disease course. Preventing lasting disability requires early identification of persons at risk and novel approaches towards patient stratification for personalized treatment decisions. In this comment, we discuss the importance of large datasets of real-world cohorts in order to address this unmet need. BioMed Central 2022-04-20 /pmc/articles/PMC9020060/ /pubmed/35440092 http://dx.doi.org/10.1186/s13073-022-01044-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Comment
Engel, Sinah
Zipp, Frauke
Preventing disease progression in multiple sclerosis—insights from large real-world cohorts
title Preventing disease progression in multiple sclerosis—insights from large real-world cohorts
title_full Preventing disease progression in multiple sclerosis—insights from large real-world cohorts
title_fullStr Preventing disease progression in multiple sclerosis—insights from large real-world cohorts
title_full_unstemmed Preventing disease progression in multiple sclerosis—insights from large real-world cohorts
title_short Preventing disease progression in multiple sclerosis—insights from large real-world cohorts
title_sort preventing disease progression in multiple sclerosis—insights from large real-world cohorts
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020060/
https://www.ncbi.nlm.nih.gov/pubmed/35440092
http://dx.doi.org/10.1186/s13073-022-01044-8
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