Predicting disease progression in amyotrophic lateral sclerosis

OBJECTIVE: It is essential to develop predictive algorithms for Amyotrophic Lateral Sclerosis (ALS) disease progression to allow for efficient clinical trials and patient care. The best existing predictive models rely on several months of baseline data and have only been validated in clinical trial...

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Detalles Bibliográficos
Autores principales: Taylor, Albert A., Fournier, Christina, Polak, Meraida, Wang, Liuxia, Zach, Neta, Keymer, Mike, Glass, Jonathan D., Ennist, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099532/
https://www.ncbi.nlm.nih.gov/pubmed/27844032
http://dx.doi.org/10.1002/acn3.348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099532/
https://www.ncbi.nlm.nih.gov/pubmed/27844032
http://dx.doi.org/10.1002/acn3.348

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