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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.


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# 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