Cargando…
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the TTR V122I Variant
Autores principales: | Park, Joshua K., Petrazzini, Ben O., Saha, Aparna, Vaid, Akhil, Vy, Ha My T., Márquez‐Luna, Carla, Chan, Lili, Nadkarni, Girish N., Do, Ron |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227245/ https://www.ncbi.nlm.nih.gov/pubmed/37042260 http://dx.doi.org/10.1161/JAHA.122.027736 |
Ejemplares similares
-
Short-term prediction of coronary artery disease using serum metabolomic patterns
por: Petrazzini, Ben Omega, et al.
Publicado: (2022) -
The prevalence and distribution of the amyloidogenic transthyretin (TTR) V122I allele in Africa
por: Jacobson, Daniel R., et al.
Publicado: (2016) -
Machine Learning Enables Single-Score Assessment of MASLD Presence and Severity
por: Chen, Robert, et al.
Publicado: (2023) -
Quantitative prediction of right ventricular and size and function from the electrocardiogram
por: Duong, Son Q., et al.
Publicado: (2023) -
Population diversity of the genetically determined TTR expression in human tissues and its implications in TTR amyloidosis
por: Iorio, Andrea, et al.
Publicado: (2017)