Classifying Drugs by their Arrhythmogenic Risk Using Machine Learning

All medications have adverse effects. Among the most serious of these are cardiac arrhythmias. Current paradigms for drug safety evaluation are costly, lengthy, conservative, and impede efficient drug development. Here, we combine multiscale experiment and simulation, high-performance computing, and...

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Detalles Bibliográficos
Autores principales: Sahli-Costabal, Francisco, Seo, Kinya, Ashley, Euan, Kuhl, Ellen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063479/
https://www.ncbi.nlm.nih.gov/pubmed/32023435
http://dx.doi.org/10.1016/j.bpj.2020.01.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063479/
https://www.ncbi.nlm.nih.gov/pubmed/32023435
http://dx.doi.org/10.1016/j.bpj.2020.01.012

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