Learning what keeps nanomedicines in tumours

IF 26.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Nature Biomedical Engineering Pub Date : 2024-09-13 DOI:10.1038/s41551-024-01251-1

Yifan Wang, Benjamin R. Schrank, Wen Jiang, Betty Y. S. Kim

引用次数: 0

Abstract

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.

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了解让纳米药物留在肿瘤中的原因

通过机器学习分析小鼠和人类肿瘤的组织病理学数据发现，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在肿瘤中积累程度的预测特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Biomedical Engineering Medicine-Medicine (miscellaneous)

CiteScore

45.30

自引率

1.10%

发文量

138

期刊介绍： Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.

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