AIMC Topic: Immunity, Innate

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High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
Humans Machine Learning Interleukin-10 Macrophages Asthma Severity of Illness Index Gene Expression Profiling Case-Control Studies Proteomics Signal Transduction Immunity, Innate CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Gene Expression Regulation Interferon-gamma Bronchoalveolar Lavage Fluid Adrenal Cortex Hormones Anti-Asthmatic Agents Adaptive Immunity Immunologic Memory Interleukin-7 Receptors, IgE
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Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.

American journal of respiratory and critical care medicine Feb 15, 2019
A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that comprises several different endotypes underpinned by different pathophysiology, coupled with advances in understanding potentially important causal mech...
Humans Machine Learning Asthma Big Data Child Immunity, Innate Models, Biological
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