Nature

Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer

For endocrine-positive Her2 negative breast cancer patients at an early stage, the benefit of adding chemotherapy to adjuvant endocrine therapy is not still confirmed. Several genomic tests are ...
Nature

Survival machine learning models for predicting all-cause and case-specific mortality risk in metabolic dysfunction-associated fatty liver disease patients

Emerging evidence links metabolic dysfunction-associated fatty liver disease (MAFLD) with increased all-cause and circulatory system disease (CSD) mortality in adults, yet survival machine learning ...
Medical Xpress

New prognostic model enhances survival prediction in liver failure

Researchers have unveiled an advancement in liver failure care: the CATCH-LIFE-MELD score (Chinese Acute-on-Chronic Liver Failure Consortium (CATCH-LIFE)-MELD score). This innovative tool, developed ...
ascopubs.org

Risk Stratification Using Tree-Based Models for Recurrence-Free Survival in Breast Cancer

Randomized Trial of Fixed-Dose Capecitabine Compared With Standard-Dose Capecitabine in Metastatic Breast Cancer: X-7/7 Trial Data were obtained from the Northwell Health cancer registry for patients ...
ascopubs.org

SOURCE beyond first-line: A survival prediction model for patients with metastatic esophagogastric adenocarcinoma after failure of first-line palliative systemic therapy.

The PRODIGE 59-DURIGAST trial: A randomized phase II study evaluating FOLFIRI plus durvalumab and FOLFIRI plus durvalumab plus tremelimumab in second-line treatment of patients with advanced gastric ...