Magnetic nanoparticles are an important asset in nanomedicine because of their many interesting properties for both diagnostic as well as therapeutic applications. Two examples are magnetic hyperthermia, in which magnetic nanoparticles generate heat as a cancer therapy, and magnetic drug targeting, in which they are remotely controlled towards specific sites in the body to deliver medicine. Recently, these particles have found their use in theranostic applications that combine diagnostic and therapeutic services in a single platform. Magnetic particle imaging (MPI) is an emerging imaging technique that non-invasively visualizes the spatial distribution of the particles, and has become an important cornerstone in these platforms to ensure their safety and efficiency. Nevertheless, the full power of these platforms has been unexploited up until now, because the merger between the application and supporting imaging system have only been considered from a hardware perspective. In this project we will introduce novel excitation sequences in MPI-guided hyperthermia and targeting setups to significantly boost their imaging and application performance by increasing the information content in the MPI measurements. Additionally, smart feedback models that allow communication between the respective applications and imager are introduced to increase the performance of MPI-guided theranostics. Together, this opens up the pathway for MPI-guided theranostics towards clinical practice.