Detalhe da pesquisa
1.
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning.
Toxicol Appl Pharmacol
; 459: 116342, 2023 01 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-36502871
2.
Considering discrepancy when calibrating a mechanistic electrophysiology model.
Philos Trans A Math Phys Eng Sci
; 378(2173): 20190349, 2020 Jun 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32448065
3.
Four Ways to Fit an Ion Channel Model.
Biophys J
; 117(12): 2420-2437, 2019 12 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-31493859
4.
Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence.
Biophys J
; 117(12): 2455-2470, 2019 12 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-31451180
5.
Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics.
J Physiol
; 596(10): 1813-1828, 2018 05 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29573276
6.
Ten simple rules for surviving an interdisciplinary PhD.
PLoS Comput Biol
; 13(5): e1005512, 2017 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-28542231
7.
A dynamic model of the intestinal epithelium integrates multiple sources of preclinical data and enables clinical translation of drug-induced toxicity.
CPT Pharmacometrics Syst Pharmacol
; 12(10): 1511-1528, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37621010
8.
Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning.
Stem Cell Reports
; 17(3): 556-568, 2022 03 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35148844
9.
Applying the CiPA approach to evaluate cardiac proarrhythmia risk of some antimalarials used off-label in the first wave of COVID-19.
Clin Transl Sci
; 14(3): 1133-1146, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33620150
10.
Reproducible model development in the cardiac electrophysiology Web Lab.
Prog Biophys Mol Biol
; 139: 3-14, 2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-29842853
11.
Corrigendum: Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment.
Front Physiol
; 8: 1025, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-29230183
12.
Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment.
Front Physiol
; 8: 917, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-29209226
13.
Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment.
Front Physiol
; 8: 616, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28878692
14.
Evaluation of an in silico cardiac safety assay: using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge.
J Pharmacol Toxicol Methods
; 68(1): 88-96, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23624022