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Darius Bordbar
Researcher at Columbia University
Publications - 5
Citations - 577
Darius Bordbar is an academic researcher from Columbia University. The author has contributed to research in topics: Medicine & Deep learning. The author has an hindex of 3, co-authored 4 publications receiving 309 citations.
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Journal ArticleDOI
Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma.
Junfei Zhao,Andrew X. Chen,Robyn D. Gartrell,Andrew M. Silverman,Luis Aparicio,Tim Chu,Darius Bordbar,David Shan,Jorge Samanamud,Aayushi Mahajan,Ioan Filip,Rose Orenbuch,Morgan Goetz,Jonathan T. Yamaguchi,Michael Cloney,Craig Horbinski,Rimas V. Lukas,Jeffrey Raizer,Ali I Rae,Jinzhou Yuan,Peter Canoll,Jeffrey N. Bruce,Yvonne M. Saenger,Peter A. Sims,Fabio M. Iwamoto,Adam M. Sonabend,Raul Rabadan +26 more
TL;DR: This study shows that clinical response to anti-PD-1 immunotherapy in GBM is associated with specific molecular alterations, immune expression signatures, and immune infiltration that reflect the tumor’s clonal evolution during treatment.
Journal ArticleDOI
Prognostic and Predictive Immunohistochemistry-Based Biomarkers in Cancer and Immunotherapy
Emanuelle M. Rizk,Robyn D. Gartrell,Luke W. Barker,Camden L Esancy,Grace G. Finkel,Darius Bordbar,Yvonne M. Saenger +6 more
TL;DR: If more IHC-based biomarkers are to reach the clinic, refinement of the technique using multiplexing or automation is key.
Journal ArticleDOI
Author Correction: Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma
Junfei Zhao,Andrew X. Chen,Robyn D. Gartrell,Andrew M. Silverman,Luis Aparicio,Tim Chu,Darius Bordbar,David Shan,Jorge Samanamud,Aayushi Mahajan,Ioan Filip,Rose Orenbuch,Morgan Goetz,Jonathan T. Yamaguchi,Michael Cloney,Craig Horbinski,Rimas V. Lukas,Jeffrey Raizer,Ali I Rae,Jinzhou Yuan,Peter Canoll,Jeffrey N. Bruce,Yvonne M. Saenger,Peter A. Sims,Fabio M. Iwamoto,Adam M. Sonabend,Raul Rabadan +26 more
TL;DR: In the version of this article originally published, the graph in Extended Data Fig. 2c was a duplication of Extended DataFig.
Journal ArticleDOI
A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers
Kaveri A. Thakoor,Jiaang Yao,Darius Bordbar,Omar Moussa,Weili Lin,Paul Sajda,Royce W.S. Chen +6 more
TL;DR: In this article , a deep learning approach was used to detect non-AMD vs. non-neovascular (NNV) vs. NV AMD from a combination of OCTA, OCT structure, 2D b-scan flow images, and high definition (HD) 5-line bscan cubes; DL also detects ocular biomarkers indicative of AMD risk.
Proceedings ArticleDOI
Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes
TL;DR: In this article, a hybrid 3D-2D convolutional neural network (CNN) was used for classification of non-AMD, non-neovascular AMD and neovascular macular degeneration.