Gastroenterology

Precision probiotic development based on gut microbial biomarkers: from mechanistic insights to clinical translation.

The intricate interplay between individualized differences in gut microbiota and host health has garnered significant attention in contemporary biomedical research. This review elucidates the complex mechanisms governing the development of personalized gut microbial ecosystems and examines innovative modulation strategies, underscoring the imperative to transcend conventional "one-size-fits-all" p...

[Current status and future perspectives of endoscopic surgery for cervical radiculopathy].

Cervical radiculopathy is one of the common degenerative disorders encountered in spinal surgery. With the continuous advancement of surgical instruments and techniques, spinal surgery has entered the era of "visualized minimally invasive treatment."Guided by the principles of minimal invasiveness, precision, and functional preservation, cervical endoscopic surgery has rapidly evolved into a compr...

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

The interplay between the commensal microbiota and the mammalian immune system may influence the outcomes of T cell-driven cancer immunotherapies. How...

[Transformation of gastrointestinal surgery diagnosis and treatment models].

In recent years, with the rapid development of medical device and biopharmaceutical technologies, the treatment model of gastric cancer surgery has be...

[Gastric function-preserving surgery (precision surgical treatment): breakthroughs in inheritance, advance in innovation].

Amid the developmental wave of "making breakthroughs while inheriting and forging ahead through innovation" in the field of gastrointestinal surgical ...

[Sphincter-preserving surgery for rectal cancer--From limits to perfection].

Sphincter-preserving therapy for low rectal cancer has always been a difficult and hot topic in colorectal cancer. Advanced understanding of the biolo...

[Trends in the development of clinical diagnosis and treatment models for gastrointestinal tumor surgery in the artificial intelligence era].

Gastrointestinal tumors represent a significant global public health challenge, characterized by high incidence and mortality, which reflect the urgen...

[Precision surgical treatment for middle and low rectal cancer in the era of artificial intelligence].

Precise preoperative assessment and the development of individualized surgical strategies are critical determinants in minimizing operative risks and ...

[Artificial intelligence prediction of surgical difficulty in mid-low rectal cancer: a single-center cohort study].

Objective: This study processes and analyzes rectal MRI images of patients with mid-to-low rectal cancer using deep learning technology, and integrate...

[Current applications and development trends of artificial intelligence in gastric cancer surgery].

With the development of artificial intelligence (AI) technology, AI has demonstrated potential in the diagnosis, treatment, and management of gastric ...

[Diagnosis and treatment of colorectal cancer in the era of artificial intelligence: review and prospect].

In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of medicine, particularly in the diagnosis and treatme...

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized con...

[Magnetically Controlled Capsule Endoscopy for Upper Gastrointestinal Examination].

Esophagogastroduodenoscopy (EGD) is the standard diagnostic modality for upper gastrointestinal (UGI) diseases, but its invasive nature and the risk o...

Interpretable machine learning model for predicting refeeding syndrome after colorectal cancer surgery.

OBJECTIVE: Refeeding syndrome (RFS) is a common yet frequently overlooked complication during postoperative nutritional support in patients undergoing...

A machine learning model for predicting complete virological response in chronic hepatitis B patients receiving first-line nucleos(t)ide analogues therapy.

BACKGROUND: Complete virological response (CVR) is the primary goal of nucleos(t)ide analogues (NAs) therapy for chronic hepatitis B (CHB) patients. T...

Tegmental kappa-opioid receptor neurons modulate opioid withdrawal via the periaqueductal gray.

Opioid withdrawal is a common and distressing manifestation of opioid dependence which, if left untreated, frequently results in relapse, accidental o...

Machine learning application in colon cancer treatment outcome prediction.

Infection-targeted innovations in anastomotic leak management: endoscopic advances, antimicrobial biomaterials, and precision strategies.

Anastomotic leakage (AL) is a devastating complication of gastrointestinal surgery and a critical source of hospital-acquired infections. This review ...

Collaborative breakthroughs in precision diagnosis and treatment of nasopharyngeal cancer: Biomarker‑driven screening and endoscopic minimally invasive surgery reshape the new paradigm of early intervention (Review).

The management of nasopharyngeal carcinoma (NPC), a malignancy with pronounced geographic prevalence in Southeast Asia, is undergoing a paradigm shift...

Machine learning models based on adipocyte fatty acid-binding protein help predict the chronic and lethal outcomes of patients with drug-induced liver injury.

PURPOSE: Some patients with drug-induced liver injury (DILI) would progress into chronicity or lethal. Although adipocyte fatty acid-binding protein (...