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Learning what keeps nanomedicines in tumours
Nature Biomedical Engineering ( IF 26.8 ) Pub Date : 2024-09-13 , DOI: 10.1038/s41551-024-01251-1 Yifan Wang 1 , Benjamin R Schrank 1 , Wen Jiang 1 , Betty Y S Kim 2
Nature Biomedical Engineering ( IF 26.8 ) Pub Date : 2024-09-13 , DOI: 10.1038/s41551-024-01251-1 Yifan Wang 1 , Benjamin R Schrank 1 , Wen Jiang 1 , Betty Y S Kim 2
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An analysis of histopathological data from mouse and human tumours via machine learning reveals that the densities of blood vessels and tumour-associated macrophages are predictive features of the degree of tumoural accumulation of polymeric and liposomal nanomedicines.
中文翻译：
了解纳米药物如何留在肿瘤中
通过机器学习对小鼠和人类肿瘤的组织病理学数据进行分析表明，血管和肿瘤相关巨噬细胞的密度是聚合物和脂质体纳米药物肿瘤积累程度的预测特征。
更新日期：2024-09-13
中文翻译：
了解纳米药物如何留在肿瘤中
通过机器学习对小鼠和人类肿瘤的组织病理学数据进行分析表明，血管和肿瘤相关巨噬细胞的密度是聚合物和脂质体纳米药物肿瘤积累程度的预测特征。
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