人工智能在药物发现革命中的作用
Ashfaq Ur Rehman1,2, Mingyu Li1, Binjian Wu1
1Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Fundamental research
|June 18, 2025
概括
人工智能 (AI) 和机器学习 (ML) 通过分析复杂的数据来加速药物发现,以了解疾病和治疗识别. 这项技术提高了所有阶段的效率,从诊断到临床试验,减少了时间和成本.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 药理学 药理学是指药理学的学科.
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 在现代医学中越来越重要.
- 药物发现是一个复杂,漫长和昂贵的过程.
- 弥合疾病理解和治疗剂识别之间的差距是一个关键的挑战.
研究的目的:
- 提供关于人工智能用于药物发现的最新进展的全面审查.
- 在整个药物发现管道中检查AI应用.
- 突出AI在加速新药开发中的作用.
主要方法:
- 关于AI和ML在药物发现中的当前文献的综述.
- 分析AI在疾病识别,诊断和目标识别中的应用.
- 检查AI在查,发现和临床试验管理中的作用.
主要成果:
- 人工智能显著提高了药物发现中的模式识别和数据分析.
- 人工智能提高了疾病识别和药物开发的效率和预测准确性.
- 人工智能简化了从目标识别到临床试验管理的流程.
结论:
- 人工智能是药物发现的变革性技术,加速了新疗法的引入.
- 有效实施需要注意数据质量,算法培训和道德考虑.
- 人工智能通过改善药物开发结果,为患者和社会提供了巨大的好处.
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