一个系统疫苗学资源,用于开发和测试免疫力的计算模型
Pramod Shinde1, Ferran Soldevila1, Joaquin Reyna1,2
1Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
bioRxiv : the preprint server for biology
|September 11, 2023
概括
预测疫苗反应的计算模型是个性化策略的关键. 一个新的平台,CMI-PB,发现现有的模型预测咳助推反应很差,突出了对数据集特定模型评估的需要.
科学领域:
- 系统疫苗学 系统疫苗学
- 计算免疫学是一种计算机免疫学.
- 个性化医疗是个性化的医疗.
背景情况:
- 预测个体疫苗反应的计算模型可以提供机械洞察力和个性化疫苗接种策略.
- 现有的模型通常是根据单一疫苗研究的有限数据进行训练,这阻碍了广泛的应用.
- 在独立数据集上评估模型性能对于强大的验证至关重要,类似于其他生物预测领域.
结论:
- 跨模型和数据集的比较分析对于推进系统疫苗学至关重要.
- CMI-PB平台促进了严格的模型评估,旨在促进社区参与未来的预测比赛.
- 为即将在2024年初举行的公开预测比赛寻求更广泛的社区参与.
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