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Publications

Journal Article Review Ppublish 2 citations

PubMed: 42611224 DOI: 10.1021/acsnano.6c02126

Artificial Intelligence for Drug Delivery.

ACS Nano 20(32):22247-22264

Authors: Xinmin Yu, Xinyun Jiang, Tao Sheng, Phylisse Nichelle Tiong, Jicheng Yu, Feng Zhu, Defang Ouyang, María José Alonso, Jianqing Gao, Zhen Gu, Yuqi Zhang

Affiliations

  • State Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou310058, China.
  • State Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou310058, China. Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou310016, China. Jinhua Institute of Zhejiang University, Jinhua321299, China.
  • State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macao999078, China.
  • Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Santiago de Compostela15782, Spain.
  • State Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou310058, China. Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou310016, China. Jinhua Institute of Zhejiang University, Jinhua321299, China. Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou311121, China. MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou310027, China.
  • State Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou310058, China. Department of Burns and Wound Care Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou310009, China.

Abstract

Drug delivery, serving as a pivotal link between pharmaceutical innovation and clinical implementation, faces numerous challenges in achieving optimal therapeutic outcomes. With the advancement of computational methodologies and technological tools, artificial intelligence (AI) has been increasingly applied in pharmaceutical sciences, ranging from target discovery to product management. In recent years, AI has been extensively used in drug delivery to tailor formulation design, enhance therapeutic efficacy, and reduce side effects. However, limitations in data quality and model interpretability frequently restrict AI's predictive performance and hinder its clinical applicability. This overview highlights the applications of AI in drug delivery, focusing on AI-designed drug formulations, AI-driven prediction of ADMET properties, and AI-assisted drug delivery devices, which support the development of precision medicine. Additionally, the translation challenges and future perspectives in this field are discussed.

MeSH

Intelligence, Pharmaceutical Preparations, Machine Learning, Deep Learning, Precision Medicine, Therapeutics, Artificial Intelligence, Nanotechnology, Medical Devices