Multi-omics data integration is one of the major challenges in the era of precision medicine.
Considerable work has been done with the advent of high-throughput studies, which have …

Monitoring survival of cancer patients using data collected by population‐based cancer
registries is an important component of cancer control. In this setting, patient survival is often …

Background There is much interest in the use of prognostic and diagnostic prediction
models in all areas of clinical medicine. The use of machine learning to improve prognostic …

Objective To develop and validate multivariable clinical diagnostic models to assist
distinguishing between type 1 and type 2 diabetes in adults aged 18–50. Design …

Background The presence of microvascular invasion (MVI) has been highlighted as an
important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and …

Background To isolate progress against cancer from changes in competing causes of death,
population cancer registries have traditionally reported cancer prognosis (net measures) …

Abstract Background & Aims To develop an individual prognostic calculator for patients with
unresectable hepatocellular carcinoma (HCC) undergoing trans‐arterial chemo …

Prostate cancer is the most common cancer among men in the US, and yet most cases
represent localized cancer for which the optimal treatment is unclear. Accumulating …

Background Prognostic disclosure is essential to informed decision making in oncology, yet
many oncologists are unsure how to successfully facilitate this discussion. This scoping …

Objective. To document the integration of social science theory in literature on mHealth
(mobile health) and consider opportunities for integration of classic theory, health …