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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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整合机器学习和基于物理的建模,用于预测设计含有gemcitabine的纳米复合材料

Abbas Rahdar1, Sonia Fathi-Karkan2,3,4, Maryam Shirzad5

  • 1Department of Physics, University of Zabol, Zabol, Iran. a.rahdar@uoz.ac.ir.

Scientific reports
|January 27, 2026
PubMed
概括

一个新的机器学习框架准确地预测纳米载体性能,优化药物加载和封装效率. 这种方法通过降低实验成本和指导合理的配方设计来加速纳米医学的发展.

关键词:
药物输送是药物输送的过程.封装效率 封装效率是指封装效率是指封装效率.杰姆西塔宾 (Gemcitabine) 是一种药物.负载效率的负载效率是什么机器学习是机器学习.纳米复合材料的使用方法纳米医学是一种纳米医学.基于物理学的建模.理性的设计理性的设计.在XGBoost中使用.

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