The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance,
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …

Knowledge-based biomedical data science involves the design and implementation of
computer systems that act as if they knew about biomedicine. Such systems depend on …

Background: Humans are exposed to tens of thousands of chemical substances that need to
be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for …

Background Pharmacokinetic natural product-drug interactions (NPDIs) occur when
botanical or other natural products are co-consumed with pharmaceutical drugs. With the …

Predicting drug-drug interactions (DDIs) is crucial for patient safety and public health. The
existing DDI prediction methods mainly fall into three categories: knowledge-based …

With the increasing need for public health and drug development, combination therapy has
become widely used in clinical settings. However, the risk of unanticipated adverse effects …

This thesis explores a combination of genomics analysis and semantic knowledge
representation useful for computational toxicology. I first discuss a novel approach to infer …