The biomedical data landscape is fragmented with several isolated, heterogeneous data
and knowledge sources, which use varying formats, syntaxes, schemas, and entity …

Background Current approaches to identifying drug-drug interactions (DDIs), include safety
studies during drug development and post-marketing surveillance after approval, offer …

Objective. To conduct a systematic review on the mechanism of action and use of traditional
Chinese medicines (TCM) in allergic rhinitis treatment. Background. Allergic rhinitis (AR) is a …

Background The expanded use of multiple drugs has increased the occurrence of adverse
drug reactions (ADRs) induced by drug-drug interactions (DDIs). However, such reactions …

Background Bioinformatics software is developed for collecting, analyzing, integrating, and
interpreting life science datasets that are often enormous. Bioinformatics engineers often …

Heart failure (HF) is a life-threatening disease. Therefore, prediction of risks associated with
HF is essential at the early stages of the disease in order to ensure safety and reduce the …

Adverse drug events (ADEs) occur when multiple drugs interact within an individual, thus
causing effects that were not initially predicted. Such toxic interactions lead to morbidity and …

Background Preventing drug interactions is an important goal to maximize patient benefit
from medications. Summarizing potential drug-drug interactions (PDDIs) for clinical decision …

Objectives: There exists a communication gap between the biomedical informatics
community on one side and the computer science/artificial intelligence community on the …

Drug Safety (DS) is a domain with significant public health and social impact. Knowledge
Engineering (KE) is the Computer Science discipline elaborating on methods and tools for …