AIMC Topic: Mucus
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Association between automatic AI-based quantification of airway-occlusive mucus plugs and all-cause mortality in patients with COPD.
Thorax
Jan 17, 2025
In this cohort study involving 9399 current and former smokers from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease study, we assessed the relationship between artificial intelligence-quantified mucus plugs on chest CTs and all-caus...
Machine Learning-Driven Discovery and Evaluation of Antimicrobial Peptides from Mucus Proteome.
Marine drugs
Aug 26, 2024
Marine antimicrobial peptides (AMPs) represent a promising source for combating infections, especially against antibiotic-resistant pathogens and traditionally challenging infections. However, traditional drug discovery methods face challenges such a...
Deep learning-based automated quantification of goblet cell mucus using histological images as a predictor of clinical relapse of ulcerative colitis with endoscopic remission.
Journal of gastroenterology
Oct 3, 2022
BACKGROUND: Mucin depletion is one of the histological indicators of clinical relapse among patients with ulcerative colitis (UC). Mucin depletion is evaluated semiquantitatively by pathologists using histological images. Therefore, the interobserver...
Mass entrapment and lysis of Mesodinium rubrum cells in mucus threads observed in cultures with Dinophysis.
Harmful algae
Mar 2, 2016
The entrapment and death of the ciliate Mesodinium rubrum in the mucus threads in cultures with Dinophysis is described and quantified. Feeding experiments with different concentrations and predator-prey ratios of Dinophysis acuta, Dinophysis acumina...
Prediction of phenotypes by secretory biomarkers and machine learning in patients with chronic rhinosinusitis.
European review for medical and pharmacological sciences
Jan 1, 2025
OBJECTIVE: Chronic rhinosinusitis (CRS) has traditionally been classified phenotypically according to the presence (CRSwNP) or absence (CRSsNP) of nasal polyps. However, the phenotypic dichotomy does not represent the complexity of the disease. Curre...
[Influencing factors of the occurrence of propagated sensation effects at Zusanli (ST 36) based on artificial intelligence technology].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Oct 12, 2018
OBJECTIVE: To explore the influencing factors of the occurrence of propagated sensation effects at Zusanli (ST 36) based on artificial intelligence technology.
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