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Learning what keeps nanomedicines in tumours

Nature Biomedical Engineering volume 8, pages 1330–1331 (2024)Cite this article

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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.

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Fig. 1: Leveraging machine learning to identify tissue biomarkers that predict the accumulation of nanomedicines in tumours.

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Authors and Affiliations

  1. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

    Yifan Wang, Benjamin R. Schrank & Wen Jiang

  2. Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

    Betty Y. S. Kim

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  1. Yifan Wang
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  2. Benjamin R. Schrank
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  3. Wen Jiang
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  4. Betty Y. S. Kim
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Correspondence to Betty Y. S. Kim.

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Wang, Y., Schrank, B.R., Jiang, W. et al. Learning what keeps nanomedicines in tumours. Nat. Biomed. Eng 8, 1330–1331 (2024). https://doi.org/10.1038/s41551-024-01251-1

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