Transdermal drug delivery (TDD) is a non-invasive technology that is currently used to (self-) administer drugs in lower doses. A main hurdle with TDD is controlling the percutaneous drug absorption since the delivery pathway – the human skin – is very patient specific. The absorption kinetics depend on the patient’s skin composition, metabolism and lifestyle. Instead of “one-size-fits-all”, we aim at designing future TDD devices that deal with specific patients (genotypes and phenotypes). We propose an innovative way to make TDD device control more intelligent by creating a virtual twin of the TDD patch and patient’s skin. This virtual twin predicts the physical processes occurring during drug release and absorption. This information is used to steer the TDD process and to tailor it to the patient.