纳米载体
药物输送
转化式学习
工作流程
纳米技术
计算机科学
工程伦理学
医学
风险分析(工程)
工程管理
工程类
心理学
材料科学
教育学
数据库
作者
Chintan Aundhia,Ghanshyam Parmar,Chitrali Talele,Niyati Shah,Dipali Talele
标识
DOI:10.2174/0115680266324522240725053634
摘要
Abstract: This review explores the transformative impact of AI on drug development and delivery in pharmaceutical sciences, spanning formulation design, real-time monitoring, targeted delivery, and future prospects. The rational design of smart drug carriers, such as AI-optimized liposomes for cancer therapy, optimizes formulations for individual patient needs. AI-driven sensors, exemplified by glucose-monitoring biosensors for diabetics, enable adaptive drug administration, enhancing precision. Despite promises, challenges like biocompatibility, regulations, and ethics persist. Interdisciplinary collaboration and transparent communication are crucial for responsible AI adoption. Anticipated trends include personalized dosage optimization and intelligent nanocarriers. The review underscores AI's potential in reshaping pharmaceuticals for patient-centric care while addressing challenges for widespread adoption.
科研通智能强力驱动
Strongly Powered by AbleSci AI