Yunendah N. Fuadah

Bandung, JB 40257, Indonesia

Last Updated: 09/26/2026

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Found 11 publications

ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-End Point Toxicity Assessment.

ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-End Point Toxicity Assessment.

Journal: Journal of chemical information and modeling

Published: April 13, 2026

Incorporating inter-individual variability to improve the reliability of predicted outcomes in in silico cardiac safety assessment.

Incorporating inter-individual variability to improve the reliability of predicted outcomes in in silico cardiac safety assessment.

Journal: Toxicology and applied pharmacology

Published: March 02, 2026

Improving In Silico Cardiac Safety Prediction by Consensus Averaging of Transmural Ventricular Cell Models.

Improving In Silico Cardiac Safety Prediction by Consensus Averaging of Transmural Ventricular Cell Models.

Journal: Annals of biomedical engineering

Published: September 09, 2025

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals.

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals.

Journal: Biomedical engineering letters

Published: January 15, 2025

Validation of new AI-based classification method for in silico cardiac safety assessment of drugs following the CiPA framework.

Validation of new AI-based classification method for in silico cardiac safety assessment of drugs following the CiPA framework.

Journal: Archives of toxicology

Published: December 12, 2024

A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers.

A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers.

Journal: CPT: pharmacometrics & systems pharmacology

Published: April 23, 2024

Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals.

Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals.

Journal: Scientific reports

Published: March 29, 2024

PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTM.

PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTM.

Journal: Diagnostics (Basel, Switzerland)

Published: June 13, 2023

An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning.

An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning.

Journal: Bioengineering (Basel, Switzerland)

Published: November 13, 2022

Classification of Blood Pressure Levels Based on Photoplethysmogram and Electrocardiogram Signals with a Concatenated Convolutional Neural Network.

Classification of Blood Pressure Levels Based on Photoplethysmogram and Electrocardiogram Signals with a Concatenated Convolutional Neural Network.

Journal: Diagnostics (Basel, Switzerland)

Published: October 14, 2022

Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning.

Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning.

Journal: Frontiers in physiology

Published: August 19, 2021

Showing 1-11 of 11

Last Updated: 09/26/2026