Next generation imaging to bridge the knowledge gap in nanomedicine delivery (2018-2021)
Abstract
Nanomedicines are generally touted as the next generation in therapeutics. However, despite some landmark successes, their translation into clinical use is limited. This is mainly a result of poor understanding of how they behave under physiological conditions. To address this issue and improve translation, this fellowship aims to develop predictive models of how nanomedicines interact with biological systems, then validate the nanomedicines in dog models of cancer that mimic the human disease.