Machine learning-aided quantification of antibody-based cancer immunotherapy by natural killer cells in microfluidic droplets is a research paper published in Lab on a Chip (2020). On theSindex it has a DataRank of 0. It has been cited 44 times.
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National Institutes of Health
Grant: 1R33CA223908-01
Determining treatment sensitivity in B cell lymphoma by novel microfluidics-based NK cell immunogenicity platform
National Institutes of Health
Grant: 1R01GM120272
National Institutes of Health
Grant: R01CA218500
National Cancer Institute
Grant: 1R01GM127714-01A1
National Science Foundation
Grant: 1803872
NIGMS NIH HHS
Grant: R01 GM120272
NIGMS NIH HHS
Grant: R01 GM127714
NCI NIH HHS
Grant: R33 CA223908
NIGMS NIH HHS
Grant: R35 GM136421
National Institutes of Health
Grant: 5R01GM120272-02
Deep Proteomic Profiling of Rare Cells
National Institutes of Health
Grant: 5R01CA218500-03
Effect of methodological and biological variability on molecular profiling of extracellular vesicles in cancer detection
FWCI
1.92
Citation Percentile
0.9%
Citation Trend
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Sustainable Development Goals