George A. Dominguez, Ph.D.

Affiliations: 
2014 Bioengineering University of Pennsylvania, Philadelphia, PA, United States 
Area:
cell adhesion and motility
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Daniel 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
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