Prognostic analysis for patient survival often employs gene expressions obtained from high-
throughput screening for tumor tissues from patients. When dealing with survival data, a …

Although clinical decision support systems (CDSSs) have been used since the 1970s for a
wide variety of clinical tasks including optimization of medication orders, improved …

Clinical risk prediction formulas for cancer patients can be improved by dynamically
updating the formulas by intermediate events, such as tumor progression. The increased …

Kidney transplantation improves quality of life and prolongs survival of patients with end-
stage kidney disease. However, kidney transplant recipients present a higher risk for …

Whilst calcineurin inhibitors (CNI) are the cornerstone of immunosuppressive maintenance
therapy in kidney transplantation, several studies have investigated the safety of CNI …

Preterm birth (PTB) remains a significant global health challenge and a leading cause of
neonatal mortality and morbidity. Despite advancements in neonatal care, the prediction of …

In kidney transplantation, dynamic predictions of graft survival may be obtained from joint
modelling of longitudinal and survival data for which a common assumption is that random …

Background. Time-to-event dynamic predictions are de ned as the probability to survive until
a de ned time horizon given being event-free at landmark times and given available …