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机器学习驱动的外体模拟脂质纳米颗粒用于瘤特定向

Seongmin Ha1, Do Hyun Lee2, Taehoon Lee1

  • 1School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea.

Nano convergence
|January 28, 2026
PubMed
概括

人工智能优化了外体模拟性脂质纳米粒子 (ENP) 用于癌症治疗. 这种由人工智能驱动的方法提高了生物相容性和有针对性的输送,为先进的纳米药物铺平了道路.

关键词:
针对癌症的纳米医学向癌症.关键材料属性 (CMA) 是指关键材料的属性.关键质量属性 (CQA) 是指关键的质量属性.外体模拟性脂质纳米粒子 (ENP) 是一种机器学习混合算法机器学习混合算法

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