make informed decisions. Often, the sheer volume of drug-gender, drug-response, drug-genotype, drug–drug and drug–food interaction data is overwhelming, and the increasing use of automated clinical decision support (CDS) platforms is reflecting the data challenges faced by HCPs (4). As a result, there is a continued trend toward the development of increasingly sophisticated data-dependent rule-based or AI-based algorithms for drug informatics (5).
