Author

Saifelden M. Ismail

Zewail City of Science and TechnologyORCID 0009-0002-8867-6533Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Salma H FayediD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 13, 2025

Antimicrobial Resistance Prediction in Salmonella enterica Using Frequency Chaos Game Representation and ResNet-18

Saifelden M. Ismail, Salma H Fayed

This study develops a deep learning model using FCGR and ResNet-18 to predict antimicrobial resistance in Salmonella and Staphylococcus aureus, achieving high accuracy for some antibiotics but not others.

DOI 10.1101/2025.09.13.675356

bacteria (other)whole-genome sequencing

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