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人工智能和机器学习在疫苗和免疫疗法开发中的作用 - - 昨天,今天和明天

Elhoucine Elfatimi¹, Yassir Lekbach¹, Swayam Prakash¹

¹Laboratory of Cellular and Molecular Immunology, College of Medicine, The Gavin Herbert Eye Institute, University of California, Irvine, Irvine, CA, United States.

Frontiers in artificial intelligence

|August 4, 2025

概括

人工智能 (AI) 和深度学习 (DL) 正在彻底改变疫苗和免疫治疗的发展. 这些技术加速了研究,提高了准确性,并减少了对动物试验的依赖,以获得更快,针对疾病和癌症的个性化治疗.

科学领域:

医学科学医学科学医学科学
免疫学免疫学免疫学
计算生物学计算生物学

背景情况:

疫苗和免疫治疗的开发是医学的一个重大成就.
亚单位疫苗提供优势,但开发成本高,耗时长.
传统方法依赖于广泛,昂贵和耗时的体内试验.

研究的目的:

审查AI和DL在疫苗和免疫疗法研究中的应用.
突出AI/DL作为时间和资源高效的战略.
讨论AI/DL在精密疫苗学中的未来挑战和机遇.

主要方法:

人工智能和DL用于预测框架和数据驱动的决策.
计算模型,系统疫苗学和多omics数据的整合.
人工智能/DL有助于患者分层,个性化治疗设计和表位选择.

主要成果:

AI/DL增强了决策,患者分类和疫苗和免疫治疗的目标选择.
这些技术提高了对免疫调节和免疫规避的理解.
AI/DL促进了针对传染病和癌症的定制疫苗和免疫治疗药物的开发.

结论:

人工智能和DL正在改变疫苗和免疫治疗研究.
这些技术有可能取代动物试验并改善临床试验.
人工智能/DL为快速开发精确和个性化的疫苗和免疫疗法铺平了道路.

关键词:

人工智能 (AI) 是一种人工智能.癌症癌症癌症癌症癌症免疫治疗药物免疫治疗药物传染病是一种传染性疾病.机器学习 (ML) 是指机器学习.疫苗研发疫苗的发展.

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