Efficient drug delivery systems (DDSs) play a pivotal role in ensuring pharmaceuticals'
targeted and effective administration. However, the intricate interplay between drug …

Possible drug–food constituent interactions (DFIs) could change the intended efficiency of
particular therapeutics in medical practice. The increasing number of multiple-drug …

Enzyme-mediated pharmacokinetic drug-drug interactions can be caused by altered activity
of drug metabolizing enzymes in the presence of a perpetrator drug, mostly via inhibition or …

Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …

Drug-to-drug interaction (DDIs) occurs when a patient consumes multiple drugs. Therefore, it
is possible that any medication can influence other drugs' effectiveness. The drug-to-drug …

The prediction of drug–drug interactions (DDIs) is essential for the development and
repositioning of new drugs. Meanwhile, they play a vital role in the fields of …

Drug-drug interaction (DDI) prediction aims to predict and evaluate potential interactions
between different drugs, assisting healthcare professionals in optimizing drug therapy …

Drug-drug interaction (DDI) is a significant public health issue that accounts for 30% of
unanticipated clinically hazardous medication events. The past decade has seen an …

NLP is a well-established field in ML for developing language models that capture the
sequence of words in a sentence. Similarly, drug molecule structures can also be …

The simultaneous use of multiple drugs, known as drug combinations, is increasingly
common in the treatment of complex diseases such as cancer. However, drug-drug …