在人工智能时代的疫苗学
Gianmarco Gasperini1, Norman Baylor2, Steve Black3
1GSK, Siena, Italy.
Science translational medicine
|April 16, 2025
概括
人工智能 (AI) 正在彻底改变疫苗研发,从抗原设计到公平获取等一切都将受到影响. 高质量的数据对于充分利用AI在疫苗学中的潜力至关重要.
科学领域:
- 疫苗学 疫苗学 疫苗学
- 计算生物学 计算生物学
- 公共卫生 公共卫生
背景情况:
- 人工智能 (AI) 对疫苗抗原设计产生了重大影响.
- 在整个疫苗学管道中,人工智能的更广泛潜力仍然在很大程度上未被开发.
研究的目的:
- 探索人工智能 (AI) 在推进完整的疫苗学管道中的变革潜力.
- 在疫苗学中确定人工智能可以推动创新和改进的关键领域.
主要方法:
- 审查和综合目前在疫苗学中的AI应用.
- 分析AI对疫苗开发和部署各个阶段的潜在影响.
主要成果:
- 人工智能已经改变了疫苗抗原的设计.
- 人工智能有可能彻底改变免疫反应预测,传染病预测,制造业,监管事务,临床试验和疫苗公平.
结论:
- 人工智能为提高疫苗开发和可访问性提供了前所未有的机会.
- 人工智能在疫苗学中的充分实现取决于大量高质量的数据的可用性.
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