Publications by authors named "Yijun Mu"

Article Synopsis
  • The study explores the use of hyperspectral imaging (HSI) to diagnose colorectal polyps and cancers during colonoscopy, aiming to improve the accuracy of polyp classification.
  • A deep learning model was developed using 144,900 images to distinguish between different types of polyps, showing high sensitivity and specificity in identifying neoplastic conditions.
  • The findings suggest that HSI can enhance diagnostic capabilities, particularly for less experienced endoscopists, potentially reducing healthcare costs through a more effective resect-and-discard approach.
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A compelling correlation method linking microbial communities and host gene expression in tissues is currently absent. A novel pipeline is proposed, dubbed Transcriptome Analysis of Host-Microbiome Crosstalk (TAHMC), designed to concurrently restore both host gene expression and microbial quantification from bulk RNA-seq data. Employing this approach, it discerned associations between the tissue microbiome and host immunity in the context of Crohn's disease (CD).

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Background And Aims: liver stiffness measurement, assessed by vibration-controlled transient elastography, has been recognized as a powerful tool for liver fibrosis assessment. The potential of liver stiffness measurement to predict clinically relevant outcomes in fatty liver disease has received considerable attention. This study aimed to investigate the prediction of liver-related events in metabolic dysfunction-associated steatotic liver disease patients by liver stiffness measurement value on transient elastography.

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. Intestinal metaplasia (IM) is a common precancerous condition for gastric cancer, and the risk of developing gastric cancer increases as IM worsens. However, current deep learning-based methods cannot effectively model the complex geometric structure of IM lesions.

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Helicobacter pylori is a potential underlying cause of many diseases. Although the Carbon 13 breath test is considered the gold standard for detection, it is high cost and low public accessibility in certain areas limit its widespread use. In this study, we sought to use machine learning and deep learning algorithm models to classify and diagnose H.

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Helicobacter pylori (H. pylori) infection is a major cause of duodenal ulcers, gastric ulcers, and gastric cancer. However, the optimal duration for H.

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Background & Aims: Antibiotic resistance of Helicobacter pylori (H. pylori) is increasing worldwide, and bismuth quadruple therapy has been recommended as a first-line regimen in many areas. This study aimed to investigate whether bismuth would improve the eradication rate (ER) of clarithromycin-/metronidazole-/levofloxacin-resistant H.

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To analyse the cause of the atmospheric PM pollution that occurred during the COVID-19 lockdown in Nanning, Guangxi, China, a single particulate aerosol mass spectrometer, aethalometer, and particulate Lidar coupled with monitoring near-surface gaseous pollutants, meteorological conditions, remote fire spot sensing by satellite and backward trajectory models were utilized during 18-24 February 2020. Three haze stages were identified: the pre-pollution period (PPP), pollution accumulation period (PAP) and pollution dissipation period (PDP). The dominant source of PM in the PPP was biomass burning (BB) (40.

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