3Ranker:一种基于人工智能的算法,用于找到非动物替代方法
Niels van Beuningen1, Sinne Alkema1, Nils Hijlkema1
1TenWise BV, Leiden, The Netherlands.
Alternatives to laboratory animals : ATLA
|October 21, 2023
概括
发现非动物替代研究方法现在更容易使用3Ranker,一个新的AI算法. 该工具有效地识别了潜在的替代品,有助于减少生物医学研究中的动物试验.
科学领域:
- 生物医学研究生物医学研究
- 计算生物学 计算生物学
- 毒理学 毒理学 毒理学
背景情况:
- 由于缺乏结构化的数据库和有效的搜索策略,寻找非动物替代方法受到阻碍.
- 现有的方法很难有效地挖掘大量的非结构化文本数据,以寻找相关的替代方案.
研究的目的:
- 推出3Ranker,一个快速的,关键字独立的算法,旨在识别生物医学研究中的非动物替代方法.
- 开发和验证基于人工智能的分类器,用于检测科学文献中动物使用的潜在替代品.
主要方法:
- 开发了一个随机森林模型,使用机器学习对3500万个摘要进行了弱监督和专家策划.
- 代改进模型以提高准确性和性能.
- 评估了算法的灵敏度和特异性,使用曲线下的面积 (AUC) 值,范围为0.85-0.95.
主要成果:
- 人工智能分类器成功地从PubMed的通用搜索中 (皮肤炎,帕金森病) 在大型数据集中识别了描述非动物替代品的文章.
- 时间序列分析显示,与神经退行性疾病研究相比,化品/皮肤研究中早些时候采用了三R原则.
- 3Ranker算法显示了灵敏度和特异性 (AUC 0.85-0.95) 之间的满意平衡.
结论:
- 3Ranker提供了一种有效的解决方案,用于识别非动物替代方法,解决当前的搜索挑战.
- 该工具有助于促进生物医学研究中的三R原则 (替代,减少,改进).
- 未来的扩展旨在扩大3Ranker在不同研究领域的应用,以支持伦理研究实践.
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