Novelty detection is the task of classifying test data that differ in some respect from the data
that are available during training. This may be seen as “one-class classification”, in which a …

Transformer is a promising neural network learner, and has achieved great success in various
machine learning tasks. Thanks to the recent prevalence of multimodal applications and …

A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …

Background Our understanding of the global scale of Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2) infection remains incomplete: Routine surveillance data …

Background Diagnosing drug-resistance remains an obstacle to the elimination of tuberculosis.
Phenotypic drug-susceptibility testing is slow and expensive, and commercial genotypic …

Background Many studies report the seroprevalence of severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) antibodies. We aimed to synthesize seroprevalence data to …

Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …

Background Molecular diagnostics are considered the most promising route to achievement
of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC…

Introduction Estimating COVID-19 cumulative incidence in Africa remains problematic due to
challenges in contact tracing, routine surveillance systems and laboratory testing capacities …

Breathing rate (BR) is a key physiological parameter used in a range of clinical settings.
Despite its diagnostic and prognostic value, it is still widely measured by counting breaths …