AIMC Topic: Tissue Embedding

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Morphological profiling using machine learning reveals emergent subpopulations of interferon-γ-stimulated mesenchymal stromal cells that predict immunosuppression.

Cytotherapy Nov 28, 2018
BACKGROUND: Although a preponderance of pre-clinical data demonstrates the immunosuppressive potential of mesenchymal stromal cells (MSCs), significant heterogeneity and lack of critical quality attributes (CQAs) based on immunosuppressive capacity l...
Humans Machine Learning Cells, Cultured Leukocytes, Mononuclear Lymphocyte Activation Cell Proliferation CD8-Positive T-Lymphocytes Immunosuppression Therapy CD4-Positive T-Lymphocytes Mesenchymal Stem Cells Coculture Techniques Interferon-gamma Stochastic Processes Tissue Embedding Cell Plasticity
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Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Molecular & cellular proteomics : MCP Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Humans Machine Learning Biomarkers, Tumor Lymphoma, Large B-Cell, Diffuse Cell Line, Tumor Gene Expression Regulation, Neoplastic Proteomics Proteome Signal Transduction Neoplasm Proteins Principal Component Analysis Formaldehyde Apoptosis Regulatory Proteins Isotope Labeling GTPase-Activating Proteins Neprilysin Phosphoprotein Phosphatases Tissue Embedding Tissue Fixation
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