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Study on the Staging and Prognosis Model of Bladder Cancer
Sponsor: The First Affiliated Hospital with Nanjing Medical University
Summary
Firstly, we retrospectively gathered the patient information who compliant with the criteria from 2012 to 2023, encompassing basic information, clinical information, along with MRI images, blood/urine samples, and tissue samples, for conducting relevant analyses of radiomics. Subsequently, based on artificial intelligence technology, deep learning and machine learning models were established on the basis of MRI radiomics and pathological histomics. Ultimately, the following research aims were accomplished: 1. Primary research objective: To explore the role of artificial intelligence and multimodal omics features in the staging and prognosis monitoring of bladder cancer. 2. Secondary objective: To explore the correlations among radiomics, case histomics, and test omics.
Official title: Study on the Staging and Prognosis Model of Bladder Cancer Based on Artificial Intelligence and Multimodal Omics Features
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2024-03-18
Completion Date
2025-07-18
Last Updated
2024-08-22
Healthy Volunteers
No
Conditions
Locations (1)
The First Affiliated Hospital with Nanjing Medical University
Nanjing, Jiangsu, China