Recent progress in survival analysis has been driven by the integration of machine learning techniques with traditional statistical models, such as the Cox proportional hazards model. This synthesis ...

Recent developments in survival analysis have increasingly focused on integrating auxiliary information from external data sources to fortify inferences derived from modestly sized internal datasets.

Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive ...

Remote patient monitoring (RPM) may improve technique survival in patients on automated peritoneal dialysis (APD), according to a study published in the February issue of Kidney International Reports.

Researchers say machine learning advances make it possible to use more sophisticated body composition analyses to assess risk of mortality from idiopathic pulmonary fibrosis (IPF). A team of ...

Clinical characteristics and survival outcomes in ovarian carcinosarcoma compared to serous carcinoma: A population-based analysis. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I ...