人工智能在制药创新的潜力:从药物发现到临床试验
Vera Malheiro1, Beatriz Santos1, Ana Figueiras1,2
1Laboratory of Drug Development and Technologies, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal.
Pharmaceuticals (Basel, Switzerland)
|June 27, 2025
概括
人工智能 (AI) 通过分析复杂的药物发现数据和优化临床试验来加速药物开发. 持续的监管监督对于安全和道德的人工智能在医学中的实施至关重要.
科学领域:
- 计算机科学 计算机科学
- 药理学 药理学是指药理学的学科.
- 生物技术是生物技术.
背景情况:
- 人工智能 (AI) 涉及通过算法创建模仿人类智能的系统.
- 先进的AI技术,如机器学习和深度学习,使系统能够从数据中学习并提高性能.
- 制药行业已大大利用人工智能进行数据分析和决策.
研究的目的:
- 审查人工智能在药物开发中的作用.
- 评估AI在增强配方,加速发现和重新定位药物的潜力.
- 要突出AI在整个药物开发管道上的影响.
主要方法:
- 使用人工智能算法分析生物和化学数据.
- 药物的有效性,毒性和不良影响的预测建模.
- 通过人工智能驱动的洞察力优化临床试验过程.
主要成果:
- 人工智能能够快速分析大量数据集,以识别新的治疗化合物.
- 人工智能算法预测药物特性,优化临床试验,减少开发时间和成本.
- 人工智能可以根据个人的遗传特征进行个性化治疗.
结论:
- 人工智能显著提高了药物发现,开发和配方.
- 人工智能优化了从初步研究到临床试验的过程,改善了治疗结果.
- 需要全面的监管和立法监督,以确保在药品中安全,道德和公正的AI应用.
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