A Multi-center Observational Clinical Study on the Development of Artificial Intelligence-Based Gastric Cancer Screening and Diagnosis Technology Using Multi-Omics Analysis of Tongue Imaging and Tongue Coating
In this study, the investigators will prospectively recruit 100,000 individuals, including gastric cancer patients who have not undergone any anti-tumor treatment and non-gastric cancer participants. The investigators will construct a diagnostic model for malignant tumors based on the combination of tongue imaging, tongue coating, saliva, gastric juice, and fecal multi-omics data (including metagenomics, proteomics, metabolomics, etc.). Additionally, the study will explore the relationship between oral, gastric, and intestinal microbiota and the development of malignant tumors.
• 18≤age≤90
• Histologically or cytologically confirmed gastric cancer
• No prior chemotherapy, radiotherapy, biotherapy, immunotherapy or other anti-tumor treatment for gastric cancer
• Subject volunteers to join the study, Signs informed consent, has good compliance and can cooperate with follow-up
• 18≤age≤90
• Willingness to participate in the study, signing an informed consent form, and demonstrating good compliance