Clinical trials

This study aims to evaluate the effects of an individualized enteral nutrition formula on clinical outcomes in critically ill adult patients in the intensive care unit (ICU). Participants will be randomly assigned to one of two groups: the individualized nutrition group or the standard nutrition group. In the individualized group, the total daily amount of enteral nutrition will be calculated and adjusted daily based on the patient's resting energy expenditure (measured by indirect calorimetry) and serum protein levels. In the standard group, a fixed-dose formula will be administered according to routine clinical protocols recommended by current guidelines. The intervention will be initiated within 48 hours of ICU admission and continued for up to 14 days or until ICU discharge. The study will assess clinical prognosis, as well as changes in gut and pulmonary microbiota, serum metabolomics, and macronutrient balance. The findings may provide evidence for personalized nutrition strategies in critically ill patients.

This study aims to evaluate whether the combination of palmitoleic acid with infliximab can improve intestinal mucosal healing in patients with Crohn's disease compared with infliximab alone.

This study aims to evaluate whether the combination of Akkermansia muciniphila with infliximab can improve intestinal mucosal healing in patients with Crohn's disease compared with infliximab alone.

This study will evaluate an embodied-intelligence-assisted bronchoscopy navigation and diagnostic system for patients with severe pneumonia who require clinically indicated bronchoscopy. The system provides real-time visual cues and voice prompts to help physicians localize target lung segments and describe endobronchial findings; physicians remain fully responsible for all clinical decisions. The trial is designed as a prospective, multicenter, controlled study conducted at about ten hospitals in China, with an anticipated sample size of approximately 100 patients. The primary objective is to determine whether AI assistance improves diagnostic agreement compared with the reference assessment, while secondary objectives include navigation success (e.g., loss-of-path rate), procedure time, and complication rates. The results will provide evidence on the safety and effectiveness of AI-assisted bronchoscopy and support product validation and registration.

To achieve rapid, intelligent and accurate microbiological diagnosis and treatment for ICU pneumonia, an artificial neural network model for microbiological diagnosis is established, which depends on many clinical cases and machine deep learning from clinical experts' judgements according to species-specific rapid detection of pathogenic bacteria and other clinical parameter variables of patients.