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Clinlabomics-Based Machine Learning Models for Risk Warning of Multi-Type Gastrointestinal Cancers

Preprint: cohort study of 115,032 peopleBiomarkers

Independent replication, multicentre, registered ChiCTR2500107671

Abstract

Gastrointestinal malignancies pose a major public health challenge in China, where the majority of patients are diagnosed late and face poor survival outcomes.

The paper