人工智能在药物发现和转化医学中的变革性作用:创新,挑战和未来前景
Grace Edet Bassey1, Ernest Aniefiok Daniel1, Kazeem Bidemi Okesina2
1Department of Medical Physiology, University of Uyo, Uyo, Nigeria.
人工智能显著加速药物发现和开发,降低成本并改善预测. 解决数据质量和道德问题对于实现人工智能的全部潜力至关重要.
科学领域:
- 生物医学信息学
- 计算生物学
- 药理学
背景情况:
- 人工智能 (AI) 正在彻底改变医学,
- 整合人工智能可以在整个药物开发过程中带来潜在的改进.
研究的目的:
- 审查人工智能在药物开发的各个阶段的作用.
- 评估人工智能对转化医学的影响,并确定挑战.
主要方法:
- 在2014年至2024年期间对同行评审研究进行系统审查.
- 在PubMed和Scopus上使用关键词进行搜索:人工智能,药物发现,机器学习,临床试验,转化医学.
主要成果:
- 人工智能降低了药物开发成本和时间表,提高了预测准确度.
- 关键应用包括分子建模,药物设计,查和临床试验优化.
- 挑战包括数据质量,模型可解释性和道德/监管方面的考虑.
结论:
- 人工智能对药物发现和转化医学具有变革性的潜力.
- 克服当前的挑战对于最大限度地提高人工智能的医疗效益至关重要.
- 人工智能的作用有望扩大,改善患者的治疗效果,推动创新.
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