Author

Mohammad Al Olaimat

University of North TexasORCID 0000-0002-4239-8323Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:electronic health records· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 2 shared Serdar BozdagiD· 2 shared Fahad SaeediD· 1 shared Jared Martinez· 1 shared Most Tahmina RahmaniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Alzheimer’s Disease Neuroimaging Initiative

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2 papers

Recent·Most cited

DyGraphTrans: A temporal graph representation learning framework for modeling disease progression from Electronic Health Records

Most Tahmina Rahman, Mohammad Al Olaimat, Serdar Bozdag, Alzheimer’s Disease Neuroimaging Initiative

DyGraphTrans models disease progression from EHRs using a dynamic graph framework, achieving strong predictive performance and interpretability.

bioRxiv · Apr 11, 2026 · PreprintBioinformatics

PPAD: A deep learning architecture to predict progression of Alzheimer's disease

Mohammad Al Olaimat, Jared Martinez, Fahad Saeed, Serdar Bozdag, Alzheimer’s Disease Neuroimaging Initiative

This paper introduces two deep learning models, PPAD and PPAD-AE, to predict Alzheimer's disease progression from mild cognitive impairment using EHR data, achieving better performance than baselines in F2 and sensitivity.

Bioinformatics · May 24, 2023Peer-reviewedBioinformatics