肠道微生态多智能预测系统

肠道微生态多智能预测系统通过整合16S rRNA测序与宿主表型信息，构建了多维度分析模型。系统覆盖微生物组成（菌门/属/种水平）、代谢功能通路（如短链脂肪酸合成）及宿主临床指标，可精准分析非酒精性脂肪肝、便秘、肥胖等疾病风险，支持动态监测干预效果，为肠道菌群研究、微生态制剂和相关辅助诊断产品开发提供参考。

The Gut Microbiome Multi-Intelligent Prediction System integrates 16S rRNA sequencing data and host phenotypic information to construct a multi-dimensional analytical model. This system covers microbial composition at the phylum, genus and species levels, metabolic functional pathways such as short-chain fatty acid synthesis, and host clinical indicators. It can accurately assess the risks of diseases such as non-alcoholic fatty liver disease, constipation and obesity, support dynamic monitoring of intervention effects, and provide references for gut microbiota research, the development of microecological preparations and related auxiliary diagnostic products.