人工智能:从流行语到临床药理学的有用工具
Mohamed H Shahin1, Aline Barth1, Jagdeep T Podichetty2
1Clinical Pharmacology and Bioanalytics, Pfizer Inc., Groton, Connecticut, USA.
Clinical pharmacology and therapeutics
|October 26, 2023
概括
人工智能 (AI) 和机器学习 (ML) 正在改变临床药理学和药物开发. 这些技术为优化患者护理和改善药物发现过程提供了新的工具.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药物开发 药物开发
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 在医疗保健中正在从作转变为现实.
- 这些技术在临床药理学和药物开发方面显示出巨大的潜力.
- 人工智能/ML可以增强决策能力,彻底改变药物开发,提高患者护理.
研究的目的:
- 审查AI和ML在临床药理学中的应用.
- 评估AI/ML对药物开发和监管决策的影响.
- 确定AI在临床药理学中的整合机会.
主要方法:
- 在临床药理学中对AI和ML应用的文献综述.
- 分析AI/ML对药物开发和监管过程的影响.
- 在数据分析和运营效率方面确定AI实施的领域.
主要成果:
- AI/ML在临床药理学中展示了多样化的应用.
- 成功实施AI/ML会影响药物开发和监管结果.
- 在人工智能驱动的数据分析和流程自动化中存在关键机遇.
结论:
- 人工智能和机器学习正在成为临床药理学和药量学中不可或缺的工具.
- 整合AI/ML将优化患者护理,加速药物开发.
- 对人工智能应用的进一步探索对于推进该领域至关重要.
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