U.S., May 21 -- ClinicalTrials.gov registry received information related to the study (NCT06979817) titled 'Machine Learning Model Guided by TLS Predicts Survival and Immune Features in Gastric Cancer' on May 12.
Brief Summary: This study aims to develop and validate a machine learning model that uses information from tertiary lymphoid structures (TLSs)-specialized immune-related cell clusters found near tumors-to predict survival outcomes and immune characteristics in patients with locally advanced gastric cancer. By analyzing clinical data, pathology, and imaging results, the model may help doctors better understand a patient's prognosis and personalize treatment strategies. The study will also explore how TLS-related immune patterns rel...