U.S., Nov. 25 -- ClinicalTrials.gov registry received information related to the study (NCT07243847) titled 'Recurrence and Prognosis Prediction Model for Gastric Cancer' on Nov. 16.
Brief Summary: This study, utilizing a large-scale multicenter Eastern database, has established a Deep Learning-based predictive model for recurrence following gastric cancer surgery, which demonstrates robust discriminatory power for early recurrence. Furthermore, the individualized recurrence probability generated by this model can predict long-term postoperative prognosis and effectively stratify patients based on risk, thereby guiding personalized treatment choices. This individualized risk probability is also applicable to both adjuvant chemotherapy and ...