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Updated: Dec 25, 2025

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish
Published on: April 16, 2019
A mathematical model to predict nanomedicine pharmacokinetics and tumor delivery
Prashant Dogra1, Joseph D Butner1, Javier Ruiz Ramírez1
1Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX 77030, USA.
Abstract:
Towards clinical translation of cancer nanomedicine, it is important to systematically investigate the various parameters related to nanoparticle (NP) physicochemical properties, tumor characteristics, and inter-individual variability that affect the tumor delivery efficiency of therapeutic nanomaterials. Comprehensive investigation of these parameters using traditional experimental approaches is impractical due to the vast parameter space; mathematical models provide a more tractable approach to navigate through such a multidimensional space. To this end, we have developed a predictive mathematical model of whole-body NP pharmacokinetics and their tumor delivery in vivo, and have conducted local and global sensitivity analyses to identify the factors that result in low tumor delivery efficiency and high off-target accumulation of NPs. Our analyses reveal that NP degradation rate, tumor blood viscosity, NP size, tumor vascular fraction, and tumor vascular porosity are the key parameters in governing NP kinetics in the tumor interstitium. The impact of these parameters on tumor delivery efficiency of NPs is discussed, and optimal values for maximizing NP delivery are presented.
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