A High‐Resolution Prediction Network for Predicting Intratumoral Distribution of Nanoprobes by Tumor Vascular and Nuclear Feature

A High‐Resolution Prediction Network for Predicting Intratumoral Distribution of Nanoprobes by Tumor Vascular and Nuclear Feature

In this study, the critical need for precise and accurate prediction of intra‐tumor heterogeneity related to the enhanced permeability and retention effect and spatial distribution of nanoprobes is addressed for the development of effective nanodrug delivery strategies. Current predictive models are...

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Bibliographic Details
Main Authors: Jiaqi Xu, Yafei Luo, Chuanbing Wang, Haiyan Chen, Yuxia Tang, Ziqing Xu, Yang Li, Hao Ni, Xianbiao Shi, Yongzhi Hu, Feiyun Wu, Jiulou Zhang, Shouju Wang
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Advanced Intelligent Systems
Subjects:
artificial intelligence
deep learning
high-resolution networks
intratumoral distributions
nanoparticles
Online Access:https://doi.org/10.1002/aisy.202300592

Internet

https://doi.org/10.1002/aisy.202300592

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