Author

Ilke Tunali

Moffitt Cancer CenterORCID 0000-0002-2565-4030Unclaimed 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:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Robert J. GilliesiD· 2 shared Albert GüvenişiD· 1 shared Asmaa El-Kenawi· 1 shared Charlie Daniels· 1 shared Daniel Nichol· 1 shared Daryoush Saeed-Vafa· 1 shared Evangelia KatsoulakisiD· 1 shared Hailee Peck· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Robert J. GilliesORCID

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2 papers

Recent·Most cited

Hypoxia-related radiomics predict immunotherapy response: A multi-cohort study of NSCLC

Ilke Tunali, Yan Qin Tan, Jhanelle E Gray, Evangelia Katsoulakis, Steven A. Eschrich, James Joseph Saller, Hugo J.W.L. Aerts, Theresa A. Boyle, Jin Qi, Albert Güveniş, Robert J. Gillies, Matthew B. Schabath

This study develops a clinical-radiomics model to predict immunotherapy response in NSCLC patients, identifying a radiomic feature linked to hypoxia and poor outcomes.

JNCI Cancer Spectrum · May 10, 2021Peer-reviewedBioinformatics

Combining radiomics and mathematical modeling to elucidate mechanisms of resistance to immune checkpoint blockade in non-small cell lung cancer

Daryoush Saeed-Vafa, Rafael Bravo, Jamie A. Dean, Asmaa El-Kenawi, Nathaniel Mon Père, Maximilian Strobl, Charlie Daniels, Olya Stringfield, Mehdi Damaghi, Ilke Tunali, Liam V. Brown, Lee Curtin, Daniel Nichol, Hailee Peck, Robert J. Gillies, Jill A. Gallaher

The paper combines radiomics and mathematical modeling to identify imaging features and hypothesize resistance mechanisms in lung cancer patients to immune checkpoint blockade.

bioRxiv · Sep 22, 2017 · PreprintCancer Biology