当前位置: X-MOL 学术Clin. Pharmacol. Ther. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Artificial Intelligence/Machine Learning: The New Frontier of Clinical Pharmacology and Precision Medicine
Clinical Pharmacology & Therapeutics ( IF 6.7 ) Pub Date : 2024-03-20 , DOI: 10.1002/cpt.3198
Qi Liu 1 , Amita Joshi 2 , Joseph F. Standing 3 , Piet H. van der Graaf 4, 5
Affiliation  

In recent years, artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces driving innovation across various sectors. This themed issue of Clinical Pharmacology & Therapeutics (CPT) is dedicated to AI/ML Innovations (Figure 1), showcasing a wide range of opportunities for applying these technologies in clinical pharmacology. AI/ML enable the application of novel methods to potentially enhance the efficiency of drug discovery and development, as well as to optimize patient care (Figure 2).1-5 This issue comprehensively explores their current applications in clinical pharmacology, addresses the challenges in their adoption, and discusses their potential to revolutionize future drug development and healthcare practices. By bringing together insights from leading experts and groundbreaking research, this issue aims to illuminate the path ahead.

Details are in the caption following the image
Figure 1
Open in figure viewerPowerPoint
Clinical Pharmacology & Therapeutics April 2024 cover image: The Application of Artificial Intelligence and Machine Learning in Clinical Pharmacology and Therapeutics.
Details are in the caption following the image
Figure 2
Open in figure viewerPowerPoint
Opportunities for the application of artificial intelligence (AI) in drug discovery, drug development, and patient care. (Disclosure: The artwork was generated using OpenAI's GPT4 model.)


中文翻译:

人工智能/机器学习:临床药理学和精准医学的新前沿

近年来,人工智能 (AI) 和机器学习 (ML) 已成为推动各个行业创新的变革力量。本期临床药理学与治疗( CPT ) 主题致力于 AI/ML 创新(图 1),展示了将这些技术应用于临床药理学的广泛机会。 AI/ML 使新方法的应用能够潜在地提高药物发现和开发的效率,并优化患者护理(图 2)。1-5本期全面探讨了它们当前在临床药理学中的应用,解决了它们采用中的挑战,并讨论了它们彻底改变未来药物开发和医疗保健实践的潜力。通过汇集领先专家的见解和突破性的研究,本期旨在阐明未来的道路。

详细信息位于图片后面的标题中
图1
在图查看器中打开微软幻灯片软件
临床药理学和治疗学2024 年 4 月封面图片:人工智能和机器学习在临床药理学和治疗学中的应用。
详细信息位于图片后面的标题中
图2
在图查看器中打开微软幻灯片软件
人工智能 (AI) 在药物发现、药物开发和患者护理方面的应用机会。 (披露:该艺术作品是使用 OpenAI 的 GPT4 模型生成的。)
更新日期:2024-03-20
down
wechat
bug