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All accepted abstracts are available in the Journal for ImmunoTherapy of Cancer (JITC).
Abstract Titles
Poster Presentation Dates
All odd numbered posters will be presented on Wednesday, Nov. 11, from 5:15-5:45 p.m. EST and Friday, Nov. 13, from 4:40-5:10 p.m. EST. Even numbered posters will be presented on Thursday, Nov. 12, from 4:50-5:20 p.m. EST and Saturday, Nov. 14, from 1-1:30 p.m. EST.
Posters will be on display from 8 a.m. on Monday, Nov. 9, until the virtual poster hall closes on December 31, 2020.
# | Type | Title | Authors | Category | Keywords |
---|---|---|---|---|---|
660 | Poster Presentation | Developing generalizable deep learning models for tumor segmentation in pathology images to enable the identification of predictive biomarkers for immunotherapies | Qinle Ba, PhD; Qinle Ba, PhD; Peng Yang; Jennifer Yearley, PhD; | Machine Learning, Artificial Intelligence and Computational Modeling | Biomarkers; Tumor microenvironment; Tumor stroma |
662 | Poster Presentation | Statistical learning from clinical and immunogenomic variables to predict response and survival with PD-L1 inhibition in advanced urothelial cancer | Wolfgang Beck, AB; Tracy L. Rose, MD; Matthew I. Milowsky, MD; William Y. Kim, MD; Jeff Klomp, PhD; Benjamin G. Vincent, MD; | Machine Learning, Artificial Intelligence and Computational Modeling | Biomarkers; Checkpoint blockade; Immune suppression; Inflammation; Neoantigens; Solid tumors; T cell; Tumor antigens; Tumor microenvironment |
663 | Poster Presentation | Correlation between early endpoints and overall survival in non-small-cell lung cancer: a trial-level meta-analysis | Shameer Khader; Youyi Zhang; Daniel Jackson; Kirsty Rhodes; Imran Khan Anwer Neelufer; Sreenath Nampally; Andrzej Prokop; Emmette Hutchison; Jiabu Ye; Feng Liu; Antony Sabin; James Weatherall; Cristina Duran; Renee Iacona; Faisal Khan; Pralay Mukhopadhyay, PhD; | Machine Learning, Artificial Intelligence and Computational Modeling | Bioinformatics |
664 | Poster Presentation | Applying Advanced Data Analysis to Immunotherapy Drug Discovery for Uveal Melanoma | Sarah Kolitz, PhD; Yoonjeong Cha, PhD; Sailaja Battula, PhD; Rebecca Kusko, PhD; Benjamin J. Zeskind, PhD, MBA; Howard L. Kaufman, MD; | Machine Learning, Artificial Intelligence and Computational Modeling | Gene expression; Solid tumors; Systems biology; Targeted therapy |
665 | Poster Presentation | Spatial single-cell analysis of colorectal cancer tumour using multiplexed imaging mass cytometry | Minh Tran; Andrew Su; HoJoon Lee, Ph.D.; Richard Cruz, Ph.D.; Lance Pflieger, PhD; Ashely Dean; Quan Nguyen, Ph.D; Hanlee P. Ji, MD; Terence Rhodes, MD, PhD; | Machine Learning, Artificial Intelligence and Computational Modeling | Antibody; Bioinformatics; Biomarkers; Immune contexture; Tumor infiltrating lymphocytes (TILs); Tumor microenvironment |
666 | Poster Presentation | Analyzing regulatory requirements in the development of immune checkpoint inhibitors using Artificial Intelligence | Krish Perumal; Amin Osmani; Amin Osmani; | Machine Learning, Artificial Intelligence and Computational Modeling | Antibody; Bispecifics; Checkpoint blockade; Clinical study; Clinical trial; T cell |
667 | Poster Presentation | Integrated molecular characterization and therapeutic vulnerabilities of neurally programmed tumors across 33 human indications | Yasin Senbabaoglu, PhD; Aslihan K. Calviello; Guadalupe O. Munoz; Richard Bourgon, BS, PhD; Shannon J. Turley, PhD; Christine Moussion; | Machine Learning, Artificial Intelligence and Computational Modeling | Bioinformatics; Checkpoint blockade; Epigenetics; Immune contexture; Immune suppression; Metabolism; Stem cell/cancer-initiating cell; Systems biology; Tumor infiltrating lymphocytes (TILs); Tumor microenvironment |
668 | Poster Presentation | A toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment | Anna S. Trigos, PhD; Tianpei Yang; Yuzhou Feng; Volkan Ozcoban; Maria Doyle; Anu Pasam; Nikolce Kocovski; Angela Pizzolla, PhD; Yu-Kuan Huang; Greg Bass; Simon P. Keam, PhD; Terrence P. Speed; Paul J. Neeson, PhD; Shahneen Sandhu, MBBS FRACP; David Goode; | Machine Learning, Artificial Intelligence and Computational Modeling | Bioinformatics; Biomarkers; Solid tumors; Systems biology; Tumor infiltrating lymphocytes (TILs); Tumor microenvironment; Tumor stroma |
669 | Poster Presentation | Computational analysis of mutual feedback regulations between IDO1 and PD-L1 | Jian Zhu, PhD; Rebecca L. Zhu; | Machine Learning, Artificial Intelligence and Computational Modeling | Checkpoint blockade; MDSC; NK/NK T cell; Regulatory T cell (Treg cell); Systems biology |