公平的机器学习抵消了精准医学中的祖先偏见,改善了所有人的结果
Leslie A Smith1, James A Cahill2, Kiley Graim1
1Department of Computer & Information Science & Engineering, University of Florida, 432 Newell Dr, Gainesville, 32611, FL, USA.
Research square
|August 7, 2023
概括
基因组数据集缺乏多样性,阻碍了对疾病的洞察力. 新的人工智能工具PhyloFrame使用各种数据来改善所有祖先的基因组医学公平.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 精准医学是一门精准的医学.
背景情况:
- 基因组数据集不成比例地代表了欧洲人口,造成了健康不平等.
- 这种代表性不足限制了对人类疾病的理解和个性化治疗的有效性.
结论:
- 通过像PhyloFrame这样的方法,人工智能可以减轻基因组数据中的祖先偏见.
- 这种方法促进了公平的代表性和改善医学研究成果.
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