Chifeng University Neuroimmune Gastrointestinal Disease Robot Dataset and Automated Research Pipeline Processing Robot Program Acquisition Method Dataset

1. IntroductionThe Chifeng University Neuroimmune Gastrointestinal Disease Robot Dataset (CUNGDRD) is a comprehensive collection of clinical, molecular, and computational data centered on gastrointestinal diseases, with a focus on neuroimmune interactions. Complementing this dataset is the Automated Research Pipeline Processing Robot Program Acquisition Method Dataset (ARPPRD), which serves as a framework for data analysis, algorithm deployment, and model validation across various biomedical domains. Together, these datasets aim to bridge gaps in translational research, empowering the development of intelligent systems for diagnosis, treatment, and monitoring of gastrointestinal diseases and associated neuroimmune mechanisms.2. Dataset ObjectivesThe primary objectives of these datasets are: Clinical Insights: To analyze the role of neuroimmune pathways in gastrointestinal diseases such as IBS-D, colorectal cancer, and associated depressive symptoms.Automated Pipelines: To standardize data preprocessing, algorithm testing, and result visualization for clinicians and researchers.Therapeutic Implications: To evaluate the effects of caffeine and other compounds on gene expression, neuroimmune signaling, and metabolic pathways.Data Integration: To facilitate the seamless integration of multi-omics data, including RNA-seq, single-cell analysis, and clinical biomarkers, into a unified processing platform.