Computational model of CAR T-cell immunotherapy dissects and predicts leukemia patient responses at remission, resistance, and relapse is a research paper published in Journal for ImmunoTherapy of Cancer (2022). On theSindex it has a DataRank of 0. It has been cited 41 times.
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Cancer Research Institute
Grant: CRI4018
The Leukemia & Lymphoma Society
Grant: N/A
National Science Foundation
Grant: CBET 2103219
National Institutes of Health
Grant: P01CA229086
National Institutes of Health
Grant: R01CA173636
National Institutes of Health
Grant: R01CA216421
National Institutes of Health
Grant: R01CA228135
National Institutes of Health
Grant: R01CA242020
National Institutes of Health
Grant: R35GM133646
National Institutes of Health
Grant: 5R01CA173636-03
Role of TET2 mutations in malignant transformation and acute myeloid leukemia
National Institutes of Health
Grant: 1R01CA228135-01A1
Mechanisms of enhancer regulation in leukemia
National Institutes of Health
Grant: 1R35GM133646-01
Dissecting and engineering CAR T-cell function for optimized Immunotherapy
National Institutes of Health
Grant: 5R01CA216421-05
The cohesin complex as a tumor suppressor in myeloid leukemia
National Institutes of Health
Grant: 1P01CA229086-01A1
The impact of changes in chromatin architecture on cancer phenotypes and tumor progression
National Institutes of Health
Grant: 5R01CA242020-05
Targeting an RNA Binding Protein Network in Acute Myeloid Leukemia
National Science Foundation
Grant: 2103219
Bioengineering Leukemic Bone Marrow Niche for Dissecting the Heterogeneous Leukemia Chemo-resistance Mechanisms
FWCI
3.25
Citation Percentile
0.9%
Citation Trend
Fields of Study
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Keywords
Sustainable Development Goals