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Fig5c_Cell_death_4_patients.xlsx
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Created: 22nd Mar 2024 at 19:58
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Version 1 (earliest) Created 22nd Mar 2024 at 19:58 by Charles Demurjian
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Projects: Hi-IMPAcTB, MIT SRP, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Institutions: Massachusetts Institute of Technology
Programme: Metastasis Network
Public web page: Not specified
Submitter: Charles Demurjian
Studies: Impact of fibrinogen, fibrin thrombi and thrombin on cancer cell extrava..., Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Bio..., Utilizing convolutional neural networks for discriminating cancer and st...
Assays: Cancer Cell Extravasation Analysis - Data Linked, Cell Culture and Tumor Spheroid Creation - Metadata, Clot Modeling Analysis - Data Linked, Convolutional Neural Network - Data Linked, Device Creation - Metadata, Device Creation - Metadata, Device Imaging - Data Linked, Device Imaging - Data Linked, Device Imaging - Metadata, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Linked, Imaging Analysis - Data Attached, Microfluidic Device Creation - Metadata, Permeability Analysis - Data Linked, Tumoroid Formation - Metadata
Giovanni S. Offeddu#, Elena Cambria#, Sarah E. Shelton, Kristina Haase, Zhengpeng Wan, Luca Possenti, Huu Tuan Nguyen, Mark R. Gillrie, Dean Hickman, Charles G. Knutson, and Roger D. Kamm
Abstract: Desmoplasia in breast cancer leads to heterogeneity in physical properties of the tissue, resulting in disparities in drug delivery and treatment efficacy among patients, thus contributing to high disease mortality. Personalized in vitro breast cancer models hold ...
Submitter: Charles Demurjian
Investigation: MetNet
Assays: Device Creation - Metadata, Device Imaging - Metadata, Imaging Analysis - Data Attached, Tumoroid Formation - Metadata
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: MetNet
