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相关概念视频

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.3K

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相关实验视频

Updated: Jun 28, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
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人工智能驱动的OMIC方法中的患者隐私.

Juexiao Zhou1, Chao Huang2, Xin Gao1

  • 1Computer 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.

Trends in genetics : TIG
|April 18, 2024
PubMed
概括
此摘要是机器生成的。

在omics分析中的人工智能 (AI) 构成隐私风险. 本研究概述了数据共享和模型培训中的威胁,并介绍了保护患者隐私在人工智能驱动的omics中的方法.

关键词:
人工智能的人工智能是人工智能.俄米克斯 (omicsics) 是一个电子产品.隐私 隐私 隐私 隐私 隐私 隐私

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 人工智能的人工智能

背景情况:

  • 奥米克斯数据分析越来越多地由人工智能 (AI) 提供动力.
  • 在OMIC中的人工智能应用引发了严重的患者隐私问题.
  • 保护敏感的患者信息对于伦理研究至关重要.

研究的目的:

  • 在OMICS分析中识别与AI相关的关键隐私风险.
  • 讨论在AI生命周期中保护患者隐私的方法.
  • 提出评估隐私保护技术有效性的方法.

主要方法:

  • 审查omics数据共享中的风险因素.
  • 在人工智能模型培训期间分析隐私漏洞.
  • 在发布人工智能模型和结果时检查隐私挑战.
  • 讨论隐私保护和评估策略.

主要成果:

  • 确定了在omics数据共享,AI模型培训和模型发布中对患者隐私的具体威胁.
  • 概述了各种方法来减轻这些隐私风险.
  • 强调了强大的隐私评估指标的重要性.

结论:

  • 欧米克分析中的AI需要采取积极的隐私保护措施.
  • 实施保护方法对于保持患者信任至关重要.
  • 对隐私的持续评估对于负责地在基因组学中部署人工智能至关重要.