Author

Ibrahim M. Chamseddine

Moffitt Cancer CenterORCID 0000-0002-7005-8692Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:clinical cohort / trial· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Katarzyna Anna RejniakiD· 3 shared Shari Pilon‐ThomasiD· 2 shared Ahmet Murat AydıniD· 1 shared Aleksandra M. KarolakiD· 1 shared Brittany L. BunchiD· 1 shared Kayode D. OlumoyiniD· 1 shared Manoj Kambara· 1 shared Matthew S. BeattyiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersSystems Biology

Katarzyna Anna RejniakORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

PETIL: Predicting Expansion of Tumor Infiltrating Lymphocytes for the Adoptive Cell Immunotherapy in Bladder Cancers

Kayode D. Olumoyin, Ahmet Murat Aydın, Sarah Bazargan, Brittany L. Bunch, Ibrahim M. Chamseddine, Aleksandra M. Karolak, Matthew S. Beatty, Shari Pilon‐Thomas, Michael Adam Poch, Katarzyna Anna Rejniak

PETIL predicts TIL expansion in bladder cancer using demographic, clinical, and biological features, achieving AUC values of 0.740 and 0.857 in testing and validation cohorts.

bioRxiv · Oct 15, 2025 · PreprintImmunology

Optimizing the Efficacy of Vaccine-Induced Immunotherapy in Melanomas

Ibrahim M. Chamseddine, Manoj Kambara, Priya R Bhatt, Shari Pilon‐Thomas, Katarzyna Anna Rejniak

The paper optimizes vaccine and anti-PD1 combination therapy for melanoma by using a mathematical model and optimization algorithm to determine the best treatment protocol.

Bulletin of Mathematical Biology · May 28, 2025Peer-reviewedSystems Biology

Hypoxia in cancer chemo- and immunotherapy: foe or friend?

Noemi Vitos, Shannon Chen, Shreya Mathur, Ibrahim M. Chamseddine, Katarzyna Anna Rejniak

The paper uses mathematical models and computational optimization to design effective cancer treatment protocols that leverage hypoxia in pancreatic and melanoma cancers.

bioRxiv · Aug 4, 2019 · PreprintSystems Biology