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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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| Publicado en: | Biophys J |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
The Biophysical Society
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7063479/ https://ncbi.nlm.nih.gov/pubmed/32023435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpj.2020.01.012 |
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