| 2025.01 |
Elevating performance and interpretability of in silico classifiers for drug proarrhythmia risk evaluations using multi-biomarker approach with ranking algorithm |
Computer Methods and Programs in Biomedicine |
| 2024.12 |
Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study |
Transl Clin Pharmacol |
| 2024.12 |
QSAR Classification Modeling Using Machine Learning with a Consensus-Based Approach for Multivariate Chemical Hazard End Points |
ACS Omega |
| 2024.10 |
Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation |
Scientific Report |
| 2024.07 |
Drug Toxicity Evaluation using Ordinal Logistic Regression with Multi-Features from ORd and ToR-ORd in-silico Ventricular Cell Model |
KSAAE (Korean Society of Alternatives to Animal Experiments) |
| 2024.07 |
A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in-silico biomarkers |
CPT-Pharmacometrics & System Pharmacology |
| 2024.07 |
Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals |
Scientific Reports |
| 2024.06 |
Single Heartbeat ECG Authentication: A 1D-CNN Framework for Robust and Efficient Human Identification |
Frontiers Bioengineering Biotechnology |
| 2024.05 |
Development of in-silico drug cardiac toxicity evaluation system with consideration of inter-individual variability |
Translational and Clinical Pharmacology |
| 2024.03 |
Evaluation of cardiac pro-arrhythmic risks using the artificial neural network with ToR–ORd in silico model output |
Frontiers in Physiology |
| 2023.10 |
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability |
Frontiers in Physiology |
| 2023.08 |
PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN–LSTM |
Diagnostics |
| 2023.02 |
In silico assessment on TdP risks of drug combinations under CiPA paradigm |
Scientific Reports |
| 2023.01 |
Application of Convolutional Neural Networks using Action Potential Shape for In-Silico Proarrhytmic Risk Assessment( |
Biomedicine |
| 2022.12 |
qInward Variability-based In-silico Proarrhythmic Risk Assessment of Drugs using Deep Learning Mode |
Frontiers in Physiology |
| 2022.12 |
An Optimal Approach for Heart Sound Classification using Grid Search in Hyperparameter Optimization of Machine Learning |
Bioengineering (Besel) |
