… approach coupled with spatiotemporal tumor modeling is potentially more suitable for …
advances in PK-PD modeling integrated with a particular discrete-based modeling approach, ie, …

… a model-based approach can be used in oncology to optimize dose selection and characterize
drug effect on tumor growth, overall survival and safety. Furthermore, modeling … of model-…

… During the discovery phase, PK/PD models can be used to … During early drug development,
PK/PD modeling can … , such as PK and PD characteristics, PK/PD modeling could be …

… and potential impact of PK-PD modeling on IO therapy. … vivo PK-PD model used for predicting
the human MABEL dose of DART. The model consists of a two-compartment PK model for …

… PK-PD relationships. Furthermore, it is well established that mechanism-based PK-PD
models … extrapolation and prediction properties compared to earlier, empirical PK-PD models [ …

… of current oncology therapies. We … PK/PD models in use in the field of oncology. These
have been summarized in Table 2. Integrated population PK/PD/disease progression models …

… In summary, a multiscale, mechanism-based model has been developed for inotuzumab
ozogamicin, which can integrate preclinical biomeasures and PK/PD data to predict clinical …

… -based study designs for FIH trials take emerging data and update the PK/PD model
assumptions and parameters, then use the revised predictions to inform the next dose level. One …

… when addressing the issue of toxicity-efficacy balance management in oncology. DTX
plus EPI combination has been replaced since then by other first-line regimens in metastatic …

… of PK-PD modeling to guide drug development has increased substantially [8]. In oncology,
modeling … review focuses on the use of pharmacodynamic biomarkers in MBDD in oncology. …