探索人工智能和大数据技术在药物开发中的伦理问题
Yulu Fan1,2,3, Yancheng Wu1, Zitong Wang4,5
1College of Pharmacy, Shanghai University of Medicine & Health Science, Shanghai, China.
Frontiers in public health
|November 5, 2025
概括
人工智能 (AI) 和大数据正在彻底改变药物开发,将时间从十年缩短到不到两年. 这一分析探讨了AI.
科学领域:
- 生物医学是生物医学.
- 计算机科学 计算机科学
- 药理学 药理学是指药理学的学科.
背景情况:
- 人工智能 (AI) 和大数据正在改变全球行业,包括药物开发.
- 传统药物开发是漫长而昂贵的,通常需要十年和数十亿美元.
- 人工智能集成有望显著加速和增强药物发现和开发过程.
研究的目的:
- 系统地分析AI和大数据在药物开发中的技术突破.
- 识别和讨论与药物发现中的AI相关的潜在风险和伦理问题.
- 探索人工智能驱动药物开发中负责任创新的治理途径.
主要方法:
- 利用大数据分析和深度学习技术用于研发.
- 在化合物查,疗效预测和临床试验设计中分析AI应用.
- 检查伦理方面的考虑,如数据隐私和算法透明度.
主要成果:
- 人工智能显著提高了研发效率和药物发现的准确性.
- 使用人工智能,药物开发周期可以缩短到两年或更短.
- 随着人工智能的采用,包括数据隐私和算法透明度在内的道德挑战也出现了.
结论:
- 人工智能和大数据正在重建药物开发范式.
- 解决道德问题对于建立负责任的创新生态系统至关重要.
- 加强安全和道德准则对于人工智能驱动的医疗效率革命至关重要.
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