Somayah Albaradei
Jeddah, 23218, Saudi Arabia
Last Updated: 09/26/2026
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Found 22 publications
Interpretable Multi-Cancer Early Detection Using SHAP-Based Machine Learning on Tumor-Educated Platelet RNA.
Journal: Diagnostics (Basel, Switzerland)
Published: July 28, 2025
Hybrid quantum neural network models for fruit quality assessment.
Journal: PloS one
Published: June 05, 2025
Improved in Silico Identification of Protein-Protein Interactions Using Deep Learning Approach.
Journal: IET systems biology
Published: November 23, 2024
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach.
Journal: IET systems biology
Published: November 22, 2024
PMPred-AE: a computational model for the detection and interpretation of pathological myopia based on artificial intelligence.
Journal: Frontiers in medicine
Published: November 16, 2024
Enhancing the Diagnosis of Behçet's Disease Using Machine Learning: A Comparative Study on Clinical Data From Saudi Arabia.
Journal: International journal of telemedicine and applications
Published: September 26, 2024
Protein-peptide binding residue prediction based on protein language models and cross-attention mechanism.
Journal: Analytical biochemistry
Published: April 27, 2024
A deep learning model predicts the presence of diverse cancer types using circulating tumor cells.
Journal: Scientific reports
Published: July 18, 2023
OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features.
Journal: Frontiers in genetics
Published: January 07, 2023
Exploiting machine learning models to identify novel Alzheimer's disease biomarkers and potential targets.
Journal: Scientific reports
Published: August 01, 2022
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data.
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data.
Journal: Frontiers in molecular biosciences
Published: April 05, 2022
Last Updated: 09/26/2026