Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

Fifty years since the first description of an association between HLA and human disease,
HLA molecules have proven to be central to physiology, protective immunity and …

New technologies have led to vast troves of large and complex data sets across many
scientific domains and industries. People routinely use machine learning techniques not …

Motivation Epidemiological cohorts typically contain a diverse set of phenotypes such that
automation of phenome scans is non-trivial, because they require highly heterogeneous …

Abstract Purpose of Review Following a life-threatening traumatic exposure, about 10% of
those exposed are at considerable risk for developing posttraumatic stress disorder (PTSD) …

Inherited genetic variation contributes to individual risk for many complex diseases and is
increasingly being used for predictive patient stratification. Previous work has shown that …

Multimodal data-driven approach has emerged as an important driving force for smart
healthcare systems with applications ranging from disease analysis to triage, diagnosis and …

Nonalcoholic fatty liver disease (NAFLD) is on the verge of becoming the leading cause of
liver disease. NAFLD develops at the interface between environmental factors and inherited …

Background The role of urate in cardiovascular diseases (CVDs) has been extensively
investigated in observational studies; however, the extent of any causal effect remains …

Background Vitamin D deficiency is highly prevalent across the globe. Existing studies
suggest that a low vitamin D level is associated with more than 130 outcomes. Exploring the …