| 注册
首页|期刊导航|首都师范大学学报(自然科学版)|AI驱动的纳米药物癌症治疗新进展

AI驱动的纳米药物癌症治疗新进展

孙晓环 路燕 王欢欢

首都师范大学学报(自然科学版)2026,Vol.47Issue(3):39-48,10.
✕
首都师范大学学报(自然科学版)2026,Vol.47Issue(3):39-48,10.DOI:10.19789/j.1004-9398.2026.03.003

AI驱动的纳米药物癌症治疗新进展

Recent advances in AI-driven cancer nanotherapy

孙晓环 1路燕 1王欢欢1

作者信息

  • 1. 扬州大学化学与材料学院,江苏 扬州 225009
  • 折叠

摘要

Abstract

Cancer,characterized by its high incidence and mortality rates,has emerged as a major global public health challenge.However,cancer treatment has long been hampered by significant side effects,difficulties in optimizing therapeutic strategies,considerable inter-patient variability in treatment response,and a reliance on empirical approaches.The development of nanomaterials has promoted the emergence of nanocarrier-assisted chemotherapy,photothermal therapy and photodynamic therapy.Though these modalities improved the spatiotemporal control of cancer therapy,the accurate evaluation of nanodrugs on personalized safety and therapeutic efficacy is challenging.In recent years,the integration of artificial intelligence(AI)technologies into cancer therapeutics,particularly the convergence of core techniques such as machine learning and deep learning,has revolutionized the development,optimization,and real-time monitoring of cancer treatment regimens.This review summarizes the cutting-edge applications of AI technologies in cancer nanotherapy,including biosafety prediction in chemotherapy,parameter optimization and treatment monitoring in photothermal therapy,as well as dosage determination and efficacy evaluation in photodynamic therapy.It highlights the pivotal role of AI in advancing cancer treatment toward precision and personalization,while also discussing existing challenges and outlining promising future directions.

关键词

人工智能/纳米材料/化疗/光热治疗/光动治疗

Key words

artificial intelligence/nanomaterial/chemotherapy/photothermal therapy/photodynamic therapy

分类

通用工业技术

引用本文复制引用

孙晓环,路燕,王欢欢..AI驱动的纳米药物癌症治疗新进展[J].首都师范大学学报(自然科学版),2026,47(3):39-48,10.

基金项目

国家自然科学基金项目(22372144) (22372144)

江苏省"333高层次人才培养工程"项目 ()

扬州大学"青蓝工程"项目 ()

首都师范大学学报(自然科学版)

1004-9398

访问量0
|
下载量0
段落导航相关论文