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NCT07554157

Development of a Pan-Cancer Screening Model Based on Blood Biomarkers

Sponsor: Zhejiang Cancer Hospital

View on ClinicalTrials.gov

Summary

This study aims to develop a pan-cancer screening model using routine blood biomarkers (including complete blood count, biochemical tests, coagulation panel, and tumor markers). The study is retrospective, collecting data from approximately 10,000,000 cancer patients diagnosed at multiple centers in China between January 2006 and September 2025. All patients have confirmed pathological diagnosis and complete blood test records. A Mixture of Experts (MoE) machine learning model will be built to predict the presence of various cancers (e.g., gastric, colorectal, liver, lung, ovarian cancer). The goal is to establish a low-cost, non-invasive screening tool suitable for large-scale population screening.

Official title: Establishment of a Pan-Cancer Screening Model Based on Blood Biomarkers

Key Details

Gender

All

Age Range

18 Years - 80 Years

Study Type

OBSERVATIONAL

Enrollment

10000000

Start Date

2025-10-22

Completion Date

2030-12-31

Last Updated

2026-04-28

Healthy Volunteers

Yes

Conditions

Interventions

OTHER

No intervention

This is an observational, retrospective study with no assigned interventions. Data are collected from existing medical records, including routine blood biomarkers (complete blood count, biochemistry, coagulation panel, tumor markers). No experimental drugs, devices, or procedures are administered. Only de-identified historical data are used for model development.

Locations (1)

Zhejiang Cancer Hospital

Hangzhou, Zhejiang, China