Cargando…
Validation of in silico biomarkers for drug screening through ordinal logistic regression
Since the Comprehensive in vitro Proarrhythmia Assay (CiPA) initiation, many studies have suggested various in silico features based on ionic charges, action potentials (AP), or intracellular calcium (Ca) to assess proarrhythmic risk. These in silico features are computed through electrophysiologica...
Autores principales: | Jeong, Da Un, Danadibrata, Rakha Zharfarizqi, Marcellinus, Aroli, Lim, Ki Moo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583152/ https://www.ncbi.nlm.nih.gov/pubmed/36277213 http://dx.doi.org/10.3389/fphys.2022.1009647 |
Ejemplares similares
-
qInward variability-based in-silico proarrhythmic risk assessment of drugs using deep learning model
por: Jeong, Da Un, et al.
Publicado: (2022) -
Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With in silico Deterministic Model Outputs
por: Yoo, Yedam, et al.
Publicado: (2021) -
Application of Convolutional Neural Networks Using Action Potential Shape for In-Silico Proarrhythmic Risk Assessment
por: Jeong, Da Un, et al.
Publicado: (2023) -
Sensitivity Analysis of Ion Channel Conductance on Myocardial Electromechanical Delay: Computational Study
por: Qauli, Ali Ikhsanul, et al.
Publicado: (2021) -
Sensitivity Analysis of Cardiac Alternans and Tachyarrhythmia to Ion Channel Conductance Using Population Modeling
por: Jeong, Da Un, et al.
Publicado: (2022)