Decoding the Complexity of Lung Inflammation plus AI Expansion
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Lung inflammation, central to respiratory diseases, is studied using advanced imaging and omics technologies. These methods visualize immune cell distribution, inflammatory mediator expression, and tissue changes, revealing distinct inflammatory phenotypes. Techniques like spatial transcriptomics and imaging mass cytometry map gene expression onto tissue architecture, identifying hyperinflammatory regions. Machine learning and network analysis extract key biomarkers and predict outcomes. Decoding lung inflammation complexity enables targeted therapies, requiring multidisciplinary collaboration.