Deep Learning Identifies Carcinogen-Producing Gut Bacteria From Light Microscopy Images
Deep learning models applied to light microscopy images successfully distinguished cancer-associated metabolic states of the gut bacterium Clostridium scindens.
Deep learning models applied to light microscopy images successfully distinguished cancer-associated metabolic states of the gut bacterium Clostridium scindens.
Researchers demonstrated that inflamed esophageal epithelial cells secrete kynurenine to accelerate pathogenic Th17 inflammation through an AHRR-dependent pathway that is ...
Researchers investigating systemic autoimmune disorders have identified three shared metabolic subtypes across primary Sjögren’s disease and systemic lupus erythematosus, according ...
Researchers found that elevated deoxycholic acid promotes colorectal cancer progression by polarizing macrophages toward an immunosuppressive phenotype that triggers tumor ...
A prospective study reveals that intensive care patients who acquire vancomycin-resistant Enterococcus show rapid microbiome diversity loss and distinct baseline ...
In an illuminating study set to redefine our understanding of colorectal cancer, researchers Yin, Li, Xie, and their colleagues embark ...
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