Background Recently there has been an explosion of new data sources about genes, proteins,
genetic variations, chemical compounds, diseases and drugs. Integration of these data …

Objective To conduct a systematic review and meta-analysis of the equivalence between
electronic and paper administration of patient reported outcome measures (PROMs) in studies …

With the advent of highly active antiretroviral therapy (HAART), HIV-infected patients are
living longer and are concerned not only with a treatment’s ability to extend their life but also …

The rapidly increasing amount of public data in chemistry and biology provides new
opportunities for large-scale data mining for drug discovery. Systematic integration of these …

Collective classification approaches exploit the dependencies of a group of linked objects
whose class labels are correlated and need to be predicted simultaneously. In this paper, we …

Background Making data available as Linked Data using Resource Description Framework (RDF)
promotes integration with other web resources. RDF documents can natively link to …

To develop and validate a disease‐specific quality of life (QoL) measure, based on the
conceptual model of the SKINDEX‐29 for patients with a chronic venous leg ulcer (VLU), in‐…

The overwhelming amount of available scholarly literature in the life sciences poses significant
challenges to scientists wishing to keep up with important developments related to their …

Background Predicting novel drug–target associations is important not only for developing
new drugs, but also for furthering biological knowledge by understanding how drugs work …

Systems chemical biology, the integration of chemistry, biology and computation to generate
understanding about the way small molecules affect biological systems as a whole, as well …