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RECRUITING
NCT07354295
Integrating Multimodal AI to Predict Treatment Response and Refine Risk Stratification in Esophageal Cancer （Radiogenomics-Esophagus）
Sponsor: Shu Peng
View on ClinicalTrials.gov
Summary
This AI-driven model leverages multimodal data-such as radiomics, pathomics, genomics, and broader multi-omics profiles-to capture complementary aspects of tumor biology and predict treatment response and prognosis.
Official title: Multimodal AI-based Therapy Response Prediction and Risk Stratification for Esophageal Cancer
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
1500
Start Date
2025-07-26
Completion Date
2030-09-30
Last Updated
2026-03-10
Healthy Volunteers
No
Conditions
Locations (1)
Tongji hospital, Tongji medical college, Huazhong university of science and technology
Wuhan, Other (Non U.s.), China