Disease

This study collects health and genetic information to implement cancer prevention and treatment strategies.

Rheumatoid arthritis (RA) is a systemic inflammatory disease that can involve all tissues with synovium. The wrist and hand, which are of great importance in our daily activities, are involved early and specifically because they are rich in synovium, which is the target tissue in RA.In many patients with rheumatoid arthritis, hand and wrist involvement is seen from the early stages of the disease. Pain, stiffness and swelling in the joint are accompanied by decreased range of motion and muscle strength.Hand functions have a very important place due to the fact that the hand must be used in countless daily life activities.Kinesiophobia is defined as a state of fear and avoidance of activity and physical movement caused by painful injury and sensitivity to repeated injury.The aim of this study was to investigate the relationship between hand sensory and strength assessment, functionality and kinesiophobia in individuals with rheumatoid arthritis.

Prediction and treatment of pediatric diseases and long-term outcomes through microbiome and multi-omics analysis by life cycle: We aim to demonstrate that a wide range of diseases are associated with gut microbiome dysbiosis and to investigate the subsequent recovery (restoration) or further deterioration of the gut microbiome over time. This study seeks to offer a novel perspective on changes in the gut microbiome, particularly in the context of the gut-lung and gut-brain axes.

A brief survey for the public to determine interest in health surveillance and disease detection

This retrospective clinical trial aims to better explore the potential of large language models in medicine by comparing the effectiveness of MDT consultations conducted by human doctors with those conducted by large language models. The main questions to be addressed are: Does using large language models to conduct anthropomorphic MDT consultations yield better results than using non-anthropomorphic processes? Is there a significant performance gap between MDT consultations conducted by large language models and those conducted by humans? How much greater is the economic benefit of MDT consultations from large language models compared to those conducted by humans? Retrospectively collect MDT consultation records from the past 20 years in northern Sichuan in China, as well as anonymized patient medical records. Group 1: Different large language models are assigned to act as doctors from different departments and as MDT secretaries to summarize consultations. Group 2: The large language model directly outputs diagnostic and treatment recommendations for patients. Compare the outputs of groups 1 and 2 with human performance retrospectively, score them, and select the best model from each department for a re-evaluation through anthropomorphic MDT consultations, once again comparing them to human results.