Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence
Breast cancer is one of the most common malignancies in women worldwide, and distant metastasis is the main cause of poor prognosis and death. This project aims to construct a precision prediction system based on multi-omics (digital pathology, immunohistochemistry, proteomics, gene sequencing) and artificial intelligence to predict distant and organ-specific metastasis (bone, lung, liver, brain) in breast cancer, analyze its mechanisms, and provide new solutions for precision medicine.
Conditions studied
Breast, Breast Cancer, Pathology
About this study
Breast cancer is one of the most common malignancies in women worldwide, and distant metastasis is the main cause of poor prognosis and death. This project aims to construct a precision prediction system based on multi-omics (digital pathology, immunohistochemistry, proteomics, gene sequencing) and artificial intelligence to predict distant and organ-specific metastasis (bone, lung, liver, brain) in breast cancer, analyze its mechanisms, and provide new solutions for precision medicine.
Primary outcomes
- Metastasis-Free Survival (From diagnosis up to December 30, 2028)
Eligibility information
Study locations
- The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000 China
Source: ClinicalTrials.gov. Record last refreshed by Varda Clinical: 2026-09-30.