Search research articles
Contact Us
Filters
Showing results (1-10 of 18) with videos related to
Page
of 2
Sort By:
Frontiers in Physiology
|
September 13, 2021
Sensitivity Analysis of Ion Channel Conductance on Myocardial Electromechanical Delay: Computational Study
Ali Ikhsanul Qauli, Aroli Marcellinus, Ki Moo Lim
Bioengineering (Basel, Switzerland)
|
October 27, 2022
Verification of the Efficacy of Mexiletine Treatment for the A1656D Mutation on Downgrading Reentrant Tachycardia Using a 3D Cardiac Electrophysiological Model
Ali Ikhsanul Qauli, Yedam Yoo, Aroli Marcellinus, et al.
Toxicology and Applied Pharmacology
|
June 23, 2026
Improving biomarker robustness for in silico cardiac safety assessment through an excitation-contraction coupling model
Ulfa Latifa Hanum, Ali Ikhsanul Qauli, Ariyadi, et al.
Translational and Clinical Pharmacology
|
July 8, 2024
Development of <i>in-silico</i> drug cardiac toxicity evaluation system with consideration of inter-individual variability
Ali Ikhsanul Qauli, Rakha Zharfarizqi Danadibrata, Aroli Marcellinus, et al.
Biomedical Engineering Letters
|
January 26, 2026
A multiscale computational model of cardiac electrophysiology for drug-induced pro-arrhythmic risk stratification
Ana Rahma Yuniarti, Aroli Marcellinus, Ali Ikhsanul Qauli, et al.
Translational and Clinical Pharmacology
|
January 13, 2025
Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study
Ali Ikhsanul Qauli, Aroli Marcellinus, Frederique Jos Vanheusden, et al.
Toxicological Research
|
July 6, 2026
<i>In silico</i> cardiac safety assessment using a multi-biomarker approach based on an electrophysiological model of hiPSC-derived cardiomyocytes
Ari Kurniawan Saputra, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Frontiers in Physiology
|
April 19, 2024
Evaluation of cardiac pro-arrhythmic risks using the artificial neural network with ToR-ORd <i>in silico</i> model output
Nurul Qashri Mahardika T, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Scientific Reports
|
October 14, 2024
Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation
Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, et al.
Frontiers in Physiology
|
October 20, 2023
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability
Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Frontiers in Physiology
|
September 13, 2021
Sensitivity Analysis of Ion Channel Conductance on Myocardial Electromechanical Delay: Computational Study
Ali Ikhsanul Qauli, Aroli Marcellinus, Ki Moo Lim
Bioengineering (Basel, Switzerland)
|
October 27, 2022
Verification of the Efficacy of Mexiletine Treatment for the A1656D Mutation on Downgrading Reentrant Tachycardia Using a 3D Cardiac Electrophysiological Model
Ali Ikhsanul Qauli, Yedam Yoo, Aroli Marcellinus, et al.
Toxicology and Applied Pharmacology
|
June 23, 2026
Improving biomarker robustness for in silico cardiac safety assessment through an excitation-contraction coupling model
Ulfa Latifa Hanum, Ali Ikhsanul Qauli, Ariyadi, et al.
Translational and Clinical Pharmacology
|
July 8, 2024
Development of <i>in-silico</i> drug cardiac toxicity evaluation system with consideration of inter-individual variability
Ali Ikhsanul Qauli, Rakha Zharfarizqi Danadibrata, Aroli Marcellinus, et al.
Biomedical Engineering Letters
|
January 26, 2026
A multiscale computational model of cardiac electrophysiology for drug-induced pro-arrhythmic risk stratification
Ana Rahma Yuniarti, Aroli Marcellinus, Ali Ikhsanul Qauli, et al.
Translational and Clinical Pharmacology
|
January 13, 2025
Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study
Ali Ikhsanul Qauli, Aroli Marcellinus, Frederique Jos Vanheusden, et al.
Toxicological Research
|
July 6, 2026
<i>In silico</i> cardiac safety assessment using a multi-biomarker approach based on an electrophysiological model of hiPSC-derived cardiomyocytes
Ari Kurniawan Saputra, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Frontiers in Physiology
|
April 19, 2024
Evaluation of cardiac pro-arrhythmic risks using the artificial neural network with ToR-ORd <i>in silico</i> model output
Nurul Qashri Mahardika T, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Scientific Reports
|
October 14, 2024
Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation
Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, et al.
Frontiers in Physiology
|
October 20, 2023
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability
Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Page
of 2