Artificial Intelligence and Machine Learning Implemented Drug Delivery Systems:A Paradigm Shift in the Pharmaceutical Industry  

作　　者：Goutam Kumar Jena Ch Niranjan Patra Sruti Jammula Rabinarayan Rana Shibani Chand 

机构地区：[1]Department of Pharmaceutics,Roland Institute of Pharmaceutical Sciences,Berhampur,Odisha,India [2]Department of Pharmacology,Roland Institute of Pharmaceutical Sciences,Berhampur,Odisha,India

出　　处：《Journal of Bio-X Research》2024年第4期143-157,共15页生物组学研究杂志(英文)

摘　　要：Artificial intelligence(AI)and machine learning(ML)are revolutionizing the pharmaceutical industry,particularly in drug development and delivery.These technologies enable precision medicine by analyzing extensive datasets to optimize formulations and predict patient responses.AI-driven models enhance nanoparticle-based drug carriers,improving their stability,bioavailability,and targeting accuracy.ML also facilitates real-time monitoring and adaptive control of drug release,ensuring better therapeutic outcomes.This review explores the integration of AI and ML in drug delivery,highlighting their potential to accelerate development,reduce costs,and advance personalized medicine.

关 键 词：precision medicine analyzing extensive datasets drug development optimize formulations machine learning ml artificial intelligence ai better therapeutic outcomes predict patient responsesai driven 

分 类 号：R943[医药卫生—药剂学]