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  An interpretable data‑driven prediction model to anticipate scoliosis in spinal muscular atrophy in the era of (gene‑) therapies

Vu‑Han, T., Bermudez Schettino, R., Weiß, C., Perka, C., Winkler, T., Sunkara, V., et al. (2024). An interpretable data‑driven prediction model to anticipate scoliosis in spinal muscular atrophy in the era of (gene‑) therapies. Scientific Reports, 14: 11838. doi:10.1038/s41598-024-62720-w.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-5FA8-A Version Permalink: https://hdl.handle.net/21.11116/0000-000F-5FAB-7
Genre: Journal Article

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s41598-024-62720-w-1.pdf (Publisher version), 4MB
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https://doi.org/10.1038/s41598-024-62720-w (Publisher version)
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 Creators:
Vu‑Han, Tu‑Lan, Author
Bermudez Schettino, Rodrigo1, Author           
Weiß, Claudia, Author
Perka, Carsten, Author
Winkler, Tobias, Author
Sunkara, Vikram, Author
Pumberger, Matthias, Author
Affiliations:
1Center for Humans and Machines, Max Planck Institute for Human Development, Max Planck Society, ou_3017589              

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Language(s): eng - English
 Dates: 2024-05-23
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-024-62720-w
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Title: Scientific Reports
Source Genre: Journal
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Pages: - Volume / Issue: 14 Sequence Number: 11838 Start / End Page: - Identifier: -