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Scientific Reports|July 16, 2024

Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signalsBharindra Kamanditya, Yunendah Nur Fuadah, Nurul Qashri Mahardika T, 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 outputNurul Qashri Mahardika T, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.

Frontiers in Physiology|January 2, 2023

qInward variability-based <i>in-silico</i> proarrhythmic risk assessment of drugs using deep learning modelDa Un Jeong, Nurul Qashri Mahardika T, Aroli Marcellinus, et al.

Diagnostics (Basel, Switzerland)|August 12, 2023

PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTMNurul Qashri Mahardika T, Yunendah Nur Fuadah, Da Un Jeong, et al.

Computer Methods and Programs in Biomedicine|January 23, 2025

Elevating performance and interpretability of in silico classifiers for drug proarrhythmia risk evaluations using multi-biomarker approach with ranking algorithmAli Ikhsanul Qauli, Nurul Qashri Mahardika T, Ulfa Latifa Hanum, et al.

Annals of Biomedical Engineering|March 3, 2026

Improving In Silico Cardiac Safety Prediction by Consensus Averaging of Transmural Ventricular Cell ModelsNurul Qashri Mahardika T, Ali Ikhsanul Qauli, Yunendah Nur Fuadah, et al.

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Showing results (1-10 of 6) with videos related to

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Scientific Reports|July 16, 2024

Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signalsBharindra Kamanditya, Yunendah Nur Fuadah, Nurul Qashri Mahardika T, 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 outputNurul Qashri Mahardika T, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.

Frontiers in Physiology|January 2, 2023

qInward variability-based <i>in-silico</i> proarrhythmic risk assessment of drugs using deep learning modelDa Un Jeong, Nurul Qashri Mahardika T, Aroli Marcellinus, et al.

Diagnostics (Basel, Switzerland)|August 12, 2023

PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTMNurul Qashri Mahardika T, Yunendah Nur Fuadah, Da Un Jeong, et al.

Computer Methods and Programs in Biomedicine|January 23, 2025

Elevating performance and interpretability of in silico classifiers for drug proarrhythmia risk evaluations using multi-biomarker approach with ranking algorithmAli Ikhsanul Qauli, Nurul Qashri Mahardika T, Ulfa Latifa Hanum, et al.

Annals of Biomedical Engineering|March 3, 2026

Improving In Silico Cardiac Safety Prediction by Consensus Averaging of Transmural Ventricular Cell ModelsNurul Qashri Mahardika T, Ali Ikhsanul Qauli, Yunendah Nur Fuadah, et al.

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