Amal K. Alkhalifa

Riyadh, 11671, Saudi Arabia

Last Updated: 09/26/2026

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Found 12 publications

A Generalizable and Interpretable Framework for Molecular Subtype Classification of Pancreatic Ductal Adenocarcinoma Integrating Conformal Uncertainty Quantification and Consensus-Based Explainable Artificial Intelligence Across Multiple Cohorts.

A Generalizable and Interpretable Framework for Molecular Subtype Classification of Pancreatic Ductal Adenocarcinoma Integrating Conformal Uncertainty Quantification and Consensus-Based Explainable Artificial Intelligence Across Multiple Cohorts.

Journal: International journal of molecular sciences

Published: July 03, 2026

Metabolomic Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome via Explainable Ensemble Learning and Pareto-Guided Feature Selection.

Metabolomic Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome via Explainable Ensemble Learning and Pareto-Guided Feature Selection.

Journal: International journal of molecular sciences

Published: May 10, 2026

Quantum Computing in a Diagnostic-First Quantum Residual Boosting Framework for Clinical Survival Analysis in Oncology and Cardiology.

Quantum Computing in a Diagnostic-First Quantum Residual Boosting Framework for Clinical Survival Analysis in Oncology and Cardiology.

Journal: Journal of clinical medicine

Published: May 10, 2026

Fecal Extracellular Vesicle Metabolomics as a Non-Invasive Biomarker Source in Colorectal Cancer: TPOT AutoML Superiority over Tree-Based Models with SHAP and LIME Clinical Interpretability.

Fecal Extracellular Vesicle Metabolomics as a Non-Invasive Biomarker Source in Colorectal Cancer: TPOT AutoML Superiority over Tree-Based Models with SHAP and LIME Clinical Interpretability.

Journal: International journal of molecular sciences

Published: April 17, 2026

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO.

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO.

Journal: Scientific reports

Published: March 13, 2026

Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach.

Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach.

Journal: Diagnostics (Basel, Switzerland)

Published: February 18, 2026

Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.

Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.

Journal: Pharmaceuticals (Basel, Switzerland)

Published: September 18, 2025

Accuracy is not enough: explainable boosting machine model and identification of candidate biomarkers for real-time sepsis risk assessment in the emergency department.

Accuracy is not enough: explainable boosting machine model and identification of candidate biomarkers for real-time sepsis risk assessment in the emergency department.

Journal: BMC emergency medicine

Published: July 15, 2025

Leveraging hybrid deep learning with starfish optimization algorithm based secure mechanism for intelligent edge computing in smart cities environment.

Leveraging hybrid deep learning with starfish optimization algorithm based secure mechanism for intelligent edge computing in smart cities environment.

Journal: Scientific reports

Published: March 16, 2025

Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications.

Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications.

Journal: Scientific reports

Published: March 13, 2025

Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing.

Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing.

Journal: Scientific reports

Published: February 22, 2025

Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection.

Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection.

Journal: Computers in biology and medicine

Published: May 03, 2024

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Last Updated: 09/26/2026