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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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| Publicado no: | Ann Clin Transl Neurol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5099532/ https://ncbi.nlm.nih.gov/pubmed/27844032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acn3.348 |
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