quantitative-polymerase-chain-reaction-qpcr-based-rapid-diagnosis

Quantitative Polymerase Chain Reaction (qPCR)-Based Rapid Diagnosis of Helicobacter pylori Infection and Antibiotic Resistance

Helicobacter pylori is a major human pathogen that&#160;infects approximately half of the global population and is becoming a serious health threat due to ...

rapid-detection-bacterial-pathogens-causing-lower-respiratory-tract

Rapid Detection of Bacterial Pathogens Causing Lower Respiratory Tract Infections via Microfluidic-Chip-Based Loop-Mediated Isothermal Amplification

Respiratory tract infections (RTIs) are among the most common problems in clinical settings. Rapid and accurate identification of bacterial pathogens will ...

detection-helicobacter-pylori-infection-antibiotic-resistance-via

Detection of Helicobacter pylori Infection and Antibiotic Resistance via Stool Quantitative Polymerase Chain Reaction Analysis

Helicobacter pylori (H. pylori) is widely prevalent worldwide, with approximately 50% of the global population having a history of H. pylori infection. In ...

rapid-diagnosis-mycobacterium-tuberculosis-infection-drug-resistance

Rapid Diagnosis of Mycobacterium tuberculosis Infection and Drug Resistance Based on Real-Time Fluorescence PCR

Tuberculosis (TB) is a major health concern that disproportionately affects vulnerable populations. The emergence and spread of drug-resistant TB pose a ...

rapid-detection-staphylococcus-aureus-methicillin-resistant

Rapid Detection of Staphylococcus aureus and Methicillin-Resistant Staphylococcus aureus by Multiplex Real-Time Fluorescent PCR

Staphylococcus aureus (S.aureus) is a common Gram-positive human pathogen that causes community-acquired and nosocomial infections, with diverse clinical ...

a-point-care-platform-for-simultaneous-triplex-pcr-detection

A Point-of-Care Platform for Simultaneous Triplex PCR Detection of Chikungunya, Dengue, and Zika Virus Infections

Chikungunya fever (CHIKF), an acute viral illness transmitted by mosquitoes and first discovered in Tanzania in 1952, has shown intermittent spread in ...

Southern Medical University

Shengli Oilfield Central Hospital

The progression of gastric cancer involves a complex multi-stage process, with gastroscopy and biopsy being the standard procedures for diagnosing gastric diseases. This study introduces an innovative non-invasive approach to differentiate gastric disease stage using gastric fluid samples through machine-learning-assisted surface-enhanced Raman spectroscopy (SERS). This method effectively identifies different stages of gastric lesions. The XGBoost algorithm demonstrates the highest accuracy of 96.88% and 91.67%, respectively, in distinguishing chronic non-atrophic gastritis from intestinal metaplasia and different subtypes of gastritis (mild, moderate, and severe). Through blinded testing validation, the model can achieve more than 80% accuracy. These findings offer new possibilities for rapid, cost-effective, and minimally invasive diagnosis of gastric diseases.

Identification of chronic non-atrophic gastritis and intestinal metaplasia stages in the Correa's cascade through machine learning analyses of SERS spectral signature of non-invasively-collected human gastric fluid samples.

To assess the risk factors associated with Helicobacter pylori infection in the urban Chinese population.

Risk factors associated with Helicobacter pylori infection in the urban population of China: A nationwide, multi-center, cross-sectional study.

Helicobacter pylori (H. pylori) infection has long been a significant global public health concern, with antibiotic resistance becoming increasingly severe. Gastric fluid qPCR detection can provide information on H. pylori infection and antibiotic resistance.

Detection of Helicobacter pylori Infection and Antibiotic Resistance via String Test Coupled With qPCR Method: A Comparative Methodological Study.

 (), linked to gastric cancer, lacks regional data on infection rates, resistance, and risks in Dongying, China.

Current rates of  infection and antibiotic resistance in the eastern coast of China: a single center study.

Thalassemia is an inherited blood disorder. Current diagnostic methods mainly rely on sophisticated equipment and specifically trained technicians. This study aims to identify and genotype thalassemia by applying machine learning (ML) algorithms to routine blood parameters. This study recruited a derivation cohort of 31,311 individuals from four independent hospitals and developed eight machine learning (ML) models for the purpose. The performance of these models was compared using a set of evaluation metrics. An additional cohort of 2000 patients was recruited for external validation to assess the generalization of the models. The results demonstrated that the categorical boosting (CatBoost) model exhibited the best discriminative ability in both the training and external validation cohorts. The model was then integrated into an online platform, which holds the potential to act as an auxiliary tool for identifying and genotyping thalassemia via automatic analysis of routine blood test parameters.

Development and validation of an interpretable risk prediction model for the early classification of thalassemia.

 (), a globally prevalent infectious pathogen, has been epidemiologically associated with dyspepsia, peptic ulcer disease, and gastric carcinogenesis. However, comprehensive regional epidemiological data regarding infection prevalence, antimicrobial resistance patterns, and associated risk factors remain insufficient in the Bortala MongolianAutonomous Prefecture of Xinjiang, China.

Current status of  infection and prevalence of resistance-associated gene mutations in Bortala Mongolian Autonomous Prefecture, Xinjiang: a single-center study.

ArticleTotal : 6	Year
Publication title Cited by 8	2023
Publication title	2024
Publication title	2025
Publication title	2025
Publication title Cited by 1	2025

Article	Year
Identification of chronic non-atrophic gastritis and intestinal metaplasia stages in the Correa's cascade through machine learning analyses of SERS spectral signature of non-invasively-colle... Biosensors & bioelectronics\| PubMed ID: 38943854	2024
Risk factors associated with Helicobacter pylori infection in the urban population of China: A nationwide, multi-center, cross-sectional study. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases\| PubMed ID: 40096882	2025
Detection of Helicobacter pylori Infection and Antibiotic Resistance via String Test Coupled With qPCR Method: A Comparative Methodological Study. Journal of gastroenterology and hepatology\| PubMed ID: 40170571	2025
Current rates of infection and antibiotic resistance in the eastern coast of China: a single center study. Frontiers in cellular and infection microbiology\| PubMed ID: 40292221	2025
Development and validation of an interpretable risk prediction model for the early classification of thalassemia. NPJ digital medicine\| PubMed ID: 40494920	2025
Current status of infection and prevalence of resistance-associated gene mutations in Bortala Mongolian Autonomous Prefecture, Xinjiang: a single-center study. Frontiers in microbiology\| PubMed ID: 41178969	2025

Jin-Xin Lai

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