Motivation Adverse drug reaction (ADR) or drug side effect studies play a crucial role in drug
discovery. Recently, with the rapid increase of both clinical and non-clinical data, machine …

Drug response to many diseases varies dramatically due to the complex genomics and
functional features and contexts. Cellular diversity of human tissues, especially tumors, is …

Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of
hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is …

The development of automated approaches employing computational methods using data
from publicly available drugs datasets for the prediction of drug side effects has been …

Adverse drug reactions (ADRs) are pharmacological events triggered by drug interactions
with various sources of origin including drug–drug interactions. While there are many …

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 …

Synergistic drug combinations play an important role in the treatment of complex diseases.
The identification of effective drug combination is vital to further reduce the side effects and …

Abstract Background In recent years, Traditional Chinese Medicine (TCM) and alternative
medicine have been widely used along with western drugs as a complementary form of …

The aim of this paper was to demonstrate the potential of the fuzzy system approach to the
analysis of healthcare databases for clinicians in their routine daily practice. The healthcare …

Alzheimer's disease (AD) is the leading cause of dementia in old people worldwide and one
of the leading causes of death in developed countries. The current poor understanding of …