文章：

纳米颗粒在癌症药物递送中的进展：体内与体外系统数学建模的挑战与前景

Advancing Cancer Drug Delivery with Nanoparticles: Challenges and Prospects in Mathematical Modeling for In Vivo and In Vitro Systems

原文发布日期：9 January 2025

DOI: 10.3390/cancers17020198

类型: Article

开放获取: 是

英文摘要：

Mathematical models are crucial for predicting the behavior of drug conjugate nanoparticles and optimizing drug delivery systems in cancer therapy. These models simulate interactions among nanoparticle properties, tumor characteristics, and physiological conditions, including drug resistance and targeting specificity. However, they often rely on assumptions that may not accurately reflect in vivo conditions. In vitro studies, while useful, may not fully capture the complexities of the in vivo environment, leading to an overestimation of nanoparticle-based therapy effectiveness. Advancements in mathematical modeling, supported by preclinical data and artificial intelligence, are vital for refining nanoparticle-based therapies and improving their translation into effective clinical treatments.

摘要翻译： 

数学模型在预测药物偶联纳米粒子行为及优化癌症治疗中的药物递送系统方面至关重要。这些模型能够模拟纳米粒子特性、肿瘤特征与生理条件（包括耐药性和靶向特异性）之间的相互作用。然而，这些模型通常依赖于可能无法准确反映体内条件的假设。体外研究虽然有用，但可能无法完全捕捉体内环境的复杂性，从而导致对纳米粒子疗法有效性的高估。在临床前数据和人工智能的支持下，数学建模的进步对于完善基于纳米粒子的疗法并推动其转化为有效的临床治疗至关重要。

原文链接：

Advancing Cancer Drug Delivery with Nanoparticles: Challenges and Prospects in Mathematical Modeling for In Vivo and In Vitro Systems