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Predicting scoliosis progression: a challenge for researchers and clinicians

Detalles Bibliográficos
Autores principales: Donzelli, Sabrina, Zaina, Fabio, Negrini, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978184/
https://www.ncbi.nlm.nih.gov/pubmed/31993579
http://dx.doi.org/10.1016/j.eclinm.2019.100244
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author Donzelli, Sabrina
Zaina, Fabio
Negrini, Stefano
author_facet Donzelli, Sabrina
Zaina, Fabio
Negrini, Stefano
author_sort Donzelli, Sabrina
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spelling pubmed-69781842020-01-28 Predicting scoliosis progression: a challenge for researchers and clinicians Donzelli, Sabrina Zaina, Fabio Negrini, Stefano EClinicalMedicine Commentary Elsevier 2020-01-06 /pmc/articles/PMC6978184/ /pubmed/31993579 http://dx.doi.org/10.1016/j.eclinm.2019.100244 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Commentary
Donzelli, Sabrina
Zaina, Fabio
Negrini, Stefano
Predicting scoliosis progression: a challenge for researchers and clinicians
title Predicting scoliosis progression: a challenge for researchers and clinicians
title_full Predicting scoliosis progression: a challenge for researchers and clinicians
title_fullStr Predicting scoliosis progression: a challenge for researchers and clinicians
title_full_unstemmed Predicting scoliosis progression: a challenge for researchers and clinicians
title_short Predicting scoliosis progression: a challenge for researchers and clinicians
title_sort predicting scoliosis progression: a challenge for researchers and clinicians
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978184/
https://www.ncbi.nlm.nih.gov/pubmed/31993579
http://dx.doi.org/10.1016/j.eclinm.2019.100244
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