Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Gut microbiome differences between amyotrophic lateral sclerosis patients and spouse controls
por: HERTZBERG, VICKI S., et al.
Publicado: (2022) -
Intraspinal Neural Stem Cell Transplantation in Amyotrophic Lateral Sclerosis: Phase 1 Trial Outcomes
por: Feldman, Eva L, et al.
Publicado: (2014) -
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
por: Kueffner, Robert, et al.
Publicado: (2019) -
Pilot trial of inosine to elevate urate levels in amyotrophic lateral sclerosis
por: Nicholson, Katharine, et al.
Publicado: (2018) -
Considerations for Amyotrophic Lateral Sclerosis (ALS) Clinical Trial Design
por: Fournier, Christina N.
Publicado: (2022)