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在感染生物学中面对新的AI任务

Artur Yakimovich1,2,3,4,5

  • 1Center for Advanced Systems Understanding (CASUS), Görlitz, Germany.

mSphere
|February 9, 2024
PubMed
概括

人工智能 (AI) 和机器学习正在通过实现复杂的预测和分析来推进感染生物学研究. 开发新的AI任务和可访问的数据集对于这个跨学科领域的未来进展至关重要.

关键词:
人工智能的人工智能是人工智能.生物图像分析分析深度学习是一种深度学习.主体-病原体相互作用感染生物学 感染生物学机器学习是机器学习.自然语言处理自然语言处理.

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