在疫苗开发中利用人工智能:叙事性审查
David B Olawade1, Jennifer Teke2, Oluwaseun Fapohunda3
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom.
Journal of microbiological methods
|July 17, 2024
概括
人工智能 (AI) 正通过加速抗原选择和表位预测来彻底改变疫苗开发. 这项技术简化了安全有效的疫苗的制造,改善了全球公共卫生结果.
科学领域:
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
- 公共卫生 公共卫生
背景情况:
- 传统的疫苗开发是缓慢而昂贵的.
- 传染病对全球健康构成重大负担.
- 人工智能 (AI) 为疫苗设计提供了一个变革性的方法.
研究的目的:
- 审查人工智能在加速疫苗开发中的作用.
- 探索人工智能在抗原选择,表位预测和辅助物识别中的应用.
- 讨论人工智能在疫苗学中的挑战和未来方向.
主要方法:
- 审查疫苗设计中的AI应用,包括机器学习和深度学习.
- 对人工智能在利用基因组数据,蛋白质结构和免疫相互作用方面的应用进行分析.
- 检查AI在免疫基因设计和辅助剂发现中的作用.
主要成果:
- 人工智能算法可以预测抗原表位和高精度评估免疫性.
- 人工智能有助于免疫原的合理设计和新型辅助剂的识别.
- 人工智能集成有望提高疫苗设计的精度和可扩展性.
结论:
- 人工智能显著影响疫苗开发,提供更快,更有效的流程.
- 解决数据异质性和模型可解释性等挑战至关重要.
- 需要跨学科的合作和监管协调,以加快疫苗的交付.
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