Gastroenterology

Machine learning-based prediction of BV-relevant probiotic functional potential in vaginal-derived Lactobacillus crispatus strains.

The vaginal microbiota plays a pivotal role in maintaining female reproductive health and homeostasis. However, most currently available Lactobacillus isolates have been developed for the prevention and treatment of intestinal diseases, whereas strain-specific investigations targeting female reproductive health remain limited. Conventional cultivation and screening strategies are often associated ...

Artificial intelligence-assisted polyp detection in colonoscopy - Methodological considerations for annotation standardization.

Noninvasive Detection of Occult yet Significant Liver Pathology in Alanine Aminotransferase-Normal Chronic Hepatitis B: A Multicenter Study.

BACKGROUND: Individuals with chronic hepatitis B (CHB) may harbor occult yet significant liver pathology despite normal alanine aminotransferase (ALT)...

Application value of gastric contrast ultrasonography in gastric tumors.

In recent years, gastric oral contrast ultrasonography (OCUS) and double contrast-enhanced ultrasonography (DCEUS) have emerged as promising imaging t...

Rectal Cancer Radiotherapy Response Prediction: Retrospective Study of Development of a Deep Learning-Based Radiomics Model.

Background: Radiotherapy (RT) is a cornerstone of multimodal treatment for rectal cancer (RC); yet, substantial interindividual variability in treatme...

Minimally invasive spine surgery: current advantages, limitations, and future directions.

Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular retractors, lateral access corridors, image-guided n...

A review on molecular crosstalk: Bioactive polysaccharides and gut microbiota in type 2 diabetes-Pathways, signaling, and therapeutic translation.

Type 2 diabetes mellitus (T2D) is a chronic metabolic disorder characterized by insulin resistance, impaired glucose homeostasis, and low-grade inflam...

The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.

BACKGROUND: With the increased utilization of artificial intelligence (AI) tools in the operating room, we aimed to integrate real-time visual cues pr...

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primarily due to its low immunogenicity and immunosuppre...

Machine learning models based on MRI predict the expression levels of Galectin - 9 expression in rectal cancer.

OBJECTIVE: To investigate the utility of a machine learning model based on MRI radiomics in predicting the expression of Galectin-9 in rectal cancer. ...

Predicting intrahepatic recurrence of colorectal cancer liver metastases after curative hepatectomy using a machine learning model with data integration of ultrasound radiomics and clinicopathological parameters.

OBJECTIVES: To develop and validate a machine learning model integrating ultrasound radiomics and clinicopathological parameters to predict intrahepat...

A critical review of technical progress, clinical heterogeneity, and implementation challenges of artificial intelligence in digestive endoscopy.

INTRODUCTION: Digestive endoscopy is a critical modality for diagnosing and managing gastrointestinal diseases, yet it faces challenges including oper...

Transformer-based prediction of radiotherapy couch shift risk in prostate cancer based on rectal volume.

Identification of Novel Biomarkers for Crohn's Disease Through the Integration of Machine Learning, Colocalization, and SMR Analysis.

Crohn's disease (CD) is a chronic inflammatory bowel disease with a prevalence rate increasing with time, thus demanding improved diagnostic and thera...

Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning.

BACKGROUND: Liver cirrhosis(LC) represents the end stage of chronic liver disease, yet reliable molecular markers remain limited. This study aimed to ...

Use of continuous glucose monitoring to stratify individuals without diabetes.

BACKGROUND: Early detection of metabolic dysfunction before diabetes onset remains a critical challenge in preventive medicine. Although glucose dynam...

Influence of blood transfusion on outcomes in patients with gastric cancer.

Chen et al's research provides valuable data supporting the cautious use of transfusions during gastric cancer surgery. However, to interpret causalit...

Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study.

Synthesizing T2-weighted MRI from CT scans presents a challenging ill-posed problem that remains underexplored in abdominopelvic imaging. We aim to de...

Design of novel PI3Kα and PI3Kγ inhibitors for cancer treatment using pharmacophore, protein-ligand contacts, and machine learning methods.

Cancer is a complex disease characterised by the unregulated growth of abnormal cells. The intracellular signaling pathway, specifically phosphatidyli...

Artificial intelligence and the future of inflammatory bowel disease trial recruitment: from bottleneck to breakthrough.