Deep learning (DL) is a family of machine learning methods that has gained considerable
attention in the scientific community, breaking benchmark records in areas such as speech …

Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

The clinical performance of the BD Veritor System for Rapid Detection of SARS-CoV-2
nucleocapsid antigen (Veritor), a chromatographic immunoassay used for SARS-CoV-2 …

Screening tests are widely used in medicine to assess the likelihood that members of a
defined population have a particular disease. This article presents an overview of such tests …

Background Sleep staging is a critical step in a range of electrophysiological signal
processing pipelines used in clinical routine as well as in sleep research. Although the …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

ObjectiveTo facilitate the introduction of food insecurity screening into clinical settings, we
examined the test performance of two-item screening questions for food insecurity against …

A biomarker may provide a diagnosis, assess disease severity or risk, or guide other clinical
interventions such as the use of drugs. Although considerable progress has been made in …

Objective To classify the sources of bias and variation and to provide an updated summary
of the evidence of the effects of each source of bias and variation. Study Design and Setting …