Article info

Original research
Computational model of CAR T-cell immunotherapy dissects and predicts leukemia patient responses at remission, resistance, and relapse

Authors

  • Lunan Liu Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, New York, USA PubMed articlesGoogle scholar articles
  • Chao Ma Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, New York, USADepartment of Biomedical Engineering, New York University, Brooklyn, New York, USA PubMed articlesGoogle scholar articles
  • Zhuoyu Zhang Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, New York, USA PubMed articlesGoogle scholar articles
  • Matthew T Witkowski Perlmutter Cancer Center, NYU Langone Health, New York City, New York, USADepartment of Pathology, NYU Langone Health, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Iannis Aifantis Perlmutter Cancer Center, NYU Langone Health, New York City, New York, USADepartment of Pathology, NYU Langone Health, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Saba Ghassemi Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USADepartment of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA PubMed articlesGoogle scholar articles
  • Weiqiang Chen Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, New York, USADepartment of Biomedical Engineering, New York University, Brooklyn, New York, USAPerlmutter Cancer Center, NYU Langone Health, New York City, New York, USADepartment of Pathology, NYU Langone Health, New York City, New York, USA PubMed articlesGoogle scholar articles

Citation

Liu L, Ma C, Zhang Z, et al
Computational model of CAR T-cell immunotherapy dissects and predicts leukemia patient responses at remission, resistance, and relapse
Online issue publication 
October 18, 2023

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