Clinical Research Directory

Esomeprazole Plus Sucralfate for Post-ESD Ulcer Healing

Endoscopic submucosal dissection (ESD) is an established treatment for early gastric cancer and precancerous lesions. Post-ESD artificial ulcers may lead to complications including delayed bleeding (3-15%) and prolonged healing. Current guidelines recommend high-dose proton pump inhibitors (PPIs), but evidence for additional mucosal protective agents remains limited. This study aims to evaluate whether combining sucralfate suspension with standard intravenous esomeprazole therapy improves ulcer healing and reduces complications after gastric ESD compared to esomeprazole alone. This is a prospective, randomized, controlled, outcome-assessor-blinded trial. A total of 120 patients undergoing gastric ESD will be randomly assigned 1:1 to receive either: * Intervention group: Intravenous esomeprazole 40mg twice daily (3 days) followed by oral esomeprazole 40mg once daily PLUS sucralfate suspension 1g twice daily for 8 weeks * Control group: Intravenous esomeprazole 40mg twice daily (3 days) followed by oral esomeprazole 40mg once daily for 8 weeks The primary outcome is ulcer reduction rate at 4 weeks post-ESD, assessed by endoscopy. Secondary outcomes include complete ulcer healing rate at 8 weeks, delayed bleeding rate, symptom scores, and safety parameters. This study will provide high-quality evidence regarding the role of sucralfate as an adjunctive therapy for post-ESD ulcer management and may inform future clinical guidelines.

Compare and Evaluate the Safety and PK Data of a Single Dose Administration of 'AD-115A' or 'AD-1151'

The study compare and evaluate the safety and pharmacokinetic characteristics of a single dose administration of 'AD-115A' or 'AD-1151' in healthy adults.

Capsule Gastric Endoscopy for Gastric Disease Screening in Simulated Home Scenarios

The goal of this clinical trial is to evaluate the diagnostic accuracy of the AI-integrated Capsule Gastroscopy (ACG) system in simulated home-use conditions for detecting upper gastrointestinal (UGI) abnormalities. It will also compare the diagnostic accuracy and time efficiency of AI-assisted interpretation versus manual reading of ACG data. The main questions it aims to answer are: What is the diagnostic accuracy of the ACG system, using conventional esophagogastroduodenoscopy (EGD) as a standard of reference? Does AI-assisted ACG reading improve diagnostic accuracy or reduce reading time compared to manual ACG video reading? Researchers will compare ACG results to conventional EGD findings (standard of reference) to determine if ACG can serve as a reliable method for UGI disease detection in home scenarios. Participants will: Undergo an ACG examination in a simulated home environment. Complete an EGD procedure within 24 hours post-ACG ingestion.

A Cohort Study of Mobile Capsule Gastroscopy for Gastric Pathologies Screening

The goal of this is to learn about the effectiveness and feasibility of a novel AI- assisted Mobile Capsule Gastroscopy (MCG) system for detecting gastric pathologies in elderly and high-risk populations. The main question it aims to answer is: Can MCG effectively detect gastric pathologies, including common gastric diseases, gastric cancer, and precancerous lesions, in elderly and high-risk individuals at community health centers? Participants will: Epidemiological, diagnostic, and post-MCG follow-up data generated during participants' involvement in the gastric pathologies public screening program will be collected.

Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis

The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are: * Evaluating the deep-learning model's accuracy and specificity in identifying cancer-specific features in Raman spectral data and determining whether this method can accurately classify patients based on risk. * Identifying which model is more adaptable to the Raman spectrum * Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.

Samples Procurement for Colorectal Cancer, Gastric Cancer, and Non-malignant Disease

The purposes of this study are to collect and store samples including blood, normal and tumor tissue from patients with colorectal cancer or gastric cancer, to collect and store samples including blood and/or normal gastrointestinal tissue (if available) from patients with non-malignant disease (including, but not limited to, inflammatory bowel disease (IBD), gastric ulcer, hemorrhoids or hernia), and to create a database for the collected samples and allow access to relevant clinical information for current and future protocols.