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Rahaf M Ahmad

Showing results (1-10 of 7) with videos related to

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NPJ Genomic Medicine|May 20, 2026
AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven frameworkRahaf M Ahmad, Salahdein Aburuz, Bassam R Ali, et al.
Computational and Structural Biotechnology Journal|November 17, 2025
Leveraging AutoML to optimize dataset selection for improved breast cancer variants pathogenicity predictionRahaf M Ahmad, Noura AlDhaheri, Mohd Saberi Mohamad, et al.
Briefings in Bioinformatics|November 20, 2025
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity predictionRahaf M Ahmad, Noura AlDhaheri, Mohd Saberi Mohamad, et al.
Nanomaterials (Basel, Switzerland)|April 12, 2022
Preparation and Characterization of Blank and Nerolidol-Loaded Chitosan-Alginate NanoparticlesRahaf M Ahmad, Yaser E Greish, Hesham F El-Maghraby, et al.
Briefings in Bioinformatics|December 27, 2023
A review of genetic variant databases and machine learning tools for predicting the pathogenicity of breast cancerRahaf M Ahmad, Bassam R Ali, Fatma Al-Jasmi, et al.
Frontiers in Pharmacology|August 21, 2023
A review of SARS-CoV-2 drug repurposing: databases and machine learning modelsMarim Elkashlan, Rahaf M Ahmad, Malak Hajar, et al.
Human Genomics|September 10, 2024
AI-derived comparative assessment of the performance of pathogenicity prediction tools on missense variants of breast cancer genesRahaf M Ahmad, Bassam R Ali, Fatma Al-Jasmi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
NPJ Genomic Medicine|May 20, 2026
AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven frameworkRahaf M Ahmad, Salahdein Aburuz, Bassam R Ali, et al.
Computational and Structural Biotechnology Journal|November 17, 2025
Leveraging AutoML to optimize dataset selection for improved breast cancer variants pathogenicity predictionRahaf M Ahmad, Noura AlDhaheri, Mohd Saberi Mohamad, et al.
Briefings in Bioinformatics|November 20, 2025
Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity predictionRahaf M Ahmad, Noura AlDhaheri, Mohd Saberi Mohamad, et al.
Nanomaterials (Basel, Switzerland)|April 12, 2022
Preparation and Characterization of Blank and Nerolidol-Loaded Chitosan-Alginate NanoparticlesRahaf M Ahmad, Yaser E Greish, Hesham F El-Maghraby, et al.
Briefings in Bioinformatics|December 27, 2023
A review of genetic variant databases and machine learning tools for predicting the pathogenicity of breast cancerRahaf M Ahmad, Bassam R Ali, Fatma Al-Jasmi, et al.
Frontiers in Pharmacology|August 21, 2023
A review of SARS-CoV-2 drug repurposing: databases and machine learning modelsMarim Elkashlan, Rahaf M Ahmad, Malak Hajar, et al.
Human Genomics|September 10, 2024
AI-derived comparative assessment of the performance of pathogenicity prediction tools on missense variants of breast cancer genesRahaf M Ahmad, Bassam R Ali, Fatma Al-Jasmi, et al.
Pageof 1