Next generation imaging to bridge the knowledge gap in nanomedicine delivery

纳米药物通常被吹捧为治疗学的下一代。然而，尽管取得了一些里程碑式的成功，但它们在临床应用中的转化是有限的。这主要是由于人们对它们在生理条件下的行为了解不足。为了解决这一问题并改善翻译，该奖学金旨在开发纳米药物如何与生物系统相互作用的预测模型，然后在模拟人类疾病的狗癌症模型中验证纳米药物。

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.