The Study Focuses on Gastric Cancer
Conditions
Brief summary
This clinical trial aims to construct and apply a collaborative network database for gastric cancer in Hebei Province, driven by artificial intelligence (AI) technology. The project seeks to integrate clinical data, genomic information, and treatment outcomes from multiple hospitals and research centers within the region. By leveraging advanced AI algorithms, the database will facilitate comprehensive data analysis to identify novel biomarkers, optimize therapeutic strategies, and improve patient outcomes. This initiative will also support real-time data sharing and collaboration among healthcare providers, researchers, and policymakers, ultimately enhancing the overall management and treatment of gastric cancer in Hebei Province.
Interventions
DIAGNOSTIC_TESTGastric Cancer AI-driven Data Integration Genomic Analysis Biomarker
Enter the clinical and related test, examination and treatment information of all gastric cancer patients, and find risk factors that affect the prognosis
Sponsors
Qun Zhao
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Inclusion criteria
All patients with gastric cancer
Exclusion criteria
None
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 5-year overall survival | 2025-12-31 | 5-year overall survival |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| 5-year recurrence-free survival | 2025-12-31 | 5-year recurrence-free survival |
Countries
China
Outcome results
None listed