人工智能药物开发的数据问题
E Richard Gold1, Robert Cook-Deegan2
1E. Richard Gold is at the Faculty of Law and Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; is Chief Policy and Partnerships Officer, Conscience, Toronto, ON, Canada; and is senior fellow, Centre for International Governance Innovation, Waterloo, ON, Canada.
概括
人工智能 (AI) 对药物发现具有前景,但需要显著的发展. 由独立组织管理的开放,高质量的数据集对于培训和验证人工智能模型至关重要.
科学领域:
- 计算化学
- 生物信息学
- 医学中的人工智能
背景情况:
- 人工智能即将彻底改变药物发现.
- 然而,人工智能在该领域的应用目前处于新生阶段.
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