George A. Dominguez, Ph.D.
Affiliations: | 2014 | Bioengineering | University of Pennsylvania, Philadelphia, PA, United States |
Area:
cell adhesion and motilityGoogle:
"George Dominguez"Mean distance: 9.94 | S | N | B | C | P |
Parents
Sign in to add mentorDaniel A. Hammer | grad student | 2014 | Penn | |
(Effect of substrate ligand presentation on the motility of human T-lymphocytes.) |
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Publications
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Dominguez GA, Polo AT, Roop J, et al. (2020) Detecting Prostate Cancer Using Pattern Recognition Neural Networks With Flow Cytometry-Based Immunophenotyping in At-Risk Men. Biomarker Insights. 15: 1177271920913320 |
Dominguez G, Campisi AJ, Roop J, et al. (2020) A novel liquid biopsy aid for identifying clinically significant prostate cancer in at-risk men: Combining artificial intelligence with flow cytometry-based immunophenotyping. Journal of Clinical Oncology. 38: e17508-e17508 |
Dominguez GA, Roop J, Polo A, et al. (2020) Abstract B50: Using pattern recognition neural networks to detect prostate cancer: A new method to analyze flow cytometry-based immunophenotyping using machine learning Clinical Cancer Research. 26 |
Dominguez GA, Roop J, Polo A, et al. (2020) Abstract P5-01-16: Combining HyperVOX with pattern recognition neural networks: A new method for analyzing flow cytometry-based immunophenotyping data for increased early detection of stage I/II breast cancer (BCa) Cancer Research |
Mastio J, Condamine T, Dominguez G, et al. (2019) Identification of monocyte-like precursors of granulocytes in cancer as a mechanism for accumulation of PMN-MDSCs. The Journal of Experimental Medicine |
Dominguez GA, Roop J, Polo A, et al. (2019) Abstract 918: Using machine learning to predict the risk of either having an aggressive form of prostate cancer (PCa) or lower-grade PCa/benign prostatic hyperplasia (BPH) based upon the flow cytometry immunophenotyping of myeloid-derived suppressor cells (MDSCs) and lymphocyte cell populations Cancer Research. 79: 918-918 |
Patel S, Fu S, Mastio J, et al. (2018) Unique pattern of neutrophil migration and function during tumor progression. Nature Immunology |
Karakasheva TA, Dominguez GA, Hashimoto A, et al. (2018) CD38+ M-MDSC expansion characterizes a subset of advanced colorectal cancer patients. Jci Insight. 3 |
Dominguez G, Sholevar C, Polo A, et al. (2018) The coupling of MDSCs with a computational analytic method to detect solid tumors. Journal of Clinical Oncology. 36: 24-24 |
Dominguez GA, Maslar K, Polo A, et al. (2018) Abstract 1582: The coupling of MDSCs with a computational neural network (NN) to detect solid tumors Cancer Research. 78: 1582-1582 |