Artificial intelligence-powered nanomedicine

纳米医学 纳米技术 计算机科学 模式 桥接(联网) 精密医学 风险分析(工程) 临床实习 转化式学习 个性化医疗 人工智能 治疗方式 工程类 管理科学 范式转换 深度学习 人工智能应用 生成语法 人类疾病
作者
Guanghong Luo,Xinxin Jiang,Congxia Hu,Lavonda Li,Lijie Yan,Gao Xiao,Yanhong Duo,Xingcai Zhang
出处
期刊:Chemical Society Reviews [Royal Society of Chemistry]
卷期号:55 (4): 2070-2119 被引量:6
标识
DOI:10.1039/d5cs01406a
摘要

The escalating global burden of diseases-including cancer, neurodegenerative, and cardiovascular disorders-poses severe threats to human health and social development. The inherent limitations of conventional diagnostic, imaging, and therapeutic modalities have driven the rapid evolution of nanomedicine, particularly nanotheranostics, which integrates diagnostic and therapeutic functionalities within a single nanoplatform for enhanced precision and safety. Despite remarkable advances in nanotechnology and materials science over recent decades, challenges such as the biological complexity of living systems, incomplete understanding of nano-bio interactions, inefficiencies in nanoparticle synthesis, and limited clinical translation continue to hinder progress. The recent convergence of nanomedicine with artificial intelligence (AI) and computational sciences has opened transformative opportunities to overcome these obstacles. AI-empowered algorithms, including machine learning, deep learning, and generative models, are increasingly being applied to optimize nanoparticle design and synthesis, predict nano-bio interactions, and improve diagnostic and therapeutic efficacy. These approaches not only accelerate materials discovery but also enable data-driven, adaptive nanotheranostic systems capable of autonomous optimization across disease contexts. This review systematically summarizes the current landscape of AI-powered nanomedicine, highlighting advances in nanoparticle design, synthesis, and the development of AI-guided diagnostic and therapeutic nanoplatforms. It further discusses applications in bioimaging, targeted therapy, and clinical translation, while identifying existing challenges and future perspectives in establishing next-generation AI-empowered nanotheranostics. Ultimately, the integration of artificial intelligence and nanotechnology is expected to revolutionize precision medicine by bridging the gap between fundamental nanoscience and clinical implementation, paving the way toward intelligent, personalized healthcare.
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