Cargando…
In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes
The human immune system consists of a highly intelligent network of billions of independent, self-organized cells that interact with each other. Machine learning (ML) is an artificial intelligence (AI) tool that automatically processes huge amounts of image data. Immunotherapies have revolutionized...
Autores principales: | Naghizadeh, Alireza, Tsao, Wei-chung, Hyun Cho, Jong, Xu, Hongye, Mohamed, Mohab, Li, Dali, Xiong, Wei, Metaxas, Dimitri, Ramos, Carlos A., Liu, Dongfang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955962/ https://www.ncbi.nlm.nih.gov/pubmed/35303007 http://dx.doi.org/10.1371/journal.pcbi.1009883 |
Ejemplares similares
-
Chimeric antigen receptor (CAR)-modified natural killer cell-based immunotherapy and immunological synapse formation in cancer and HIV
por: Liu, Dongfang, et al.
Publicado: (2017) -
Erratum to: Chimeric antigen receptor (CAR)-modified natural killer cell-based immunotherapy and immunological synapse formation in cancer and HIV
por: Liu, Dongfang, et al.
Publicado: (2017) -
The Role of Immunological Synapse in Predicting the Efficacy of Chimeric Antigen Receptor (CAR) Immunotherapy
por: Liu, Dongfang, et al.
Publicado: (2020) -
Nanoscale CAR Organization at the Immune Synapse Correlates with CAR-T Effector Functions
por: Sajman, Julia, et al.
Publicado: (2023) -
Immunological Synapse Predicts Effectiveness of Chimeric Antigen Receptor Cells
por: Xiong, Wei, et al.
Publicado: (2018)