人工智能驱动的组学方法中的患者隐私。
Patient privacy in AI-driven omics methods.
机构信息
Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia; Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.
Ningbo Institute of Information Technology Application, Chinese Academy of Sciences (CAS), Ningbo, China.
出版信息
Trends Genet. 2024 May;40(5):383-386. doi: 10.1016/j.tig.2024.03.004. Epub 2024 Apr 17.
Artificial intelligence (AI) in omics analysis raises privacy threats to patients. Here, we briefly discuss risk factors to patient privacy in data sharing, model training, and release, as well as methods to safeguard and evaluate patient privacy in AI-driven omics methods.
人工智能（AI）在组学分析中对患者的隐私构成威胁。在这里，我们简要讨论了数据共享、模型训练和发布过程中患者隐私的风险因素，以及保护和评估 AI 驱动的组学方法中患者隐私的方法。
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