癌症研究人员的人工智能指南
Raquel Perez-Lopez1, Narmin Ghaffari Laleh2, Faisal Mahmood3,4,5,6,7,8
1Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Nature reviews. Cancer
|May 16, 2024
概括
人工智能 (AI) 现在可以用于癌症研究,提供提高生产率和发现新发现的工具. 这本指南有助于非计算研究人员利用人工智能进行图像分析,NLP和药物发现.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 人工智能 (AI) 已经从专业领域转变为癌症研究人员可访问的资源.
- 人工智能工具为提高研究效率和从现有数据中获得新的科学见解提供了巨大的潜力.
研究的目的:
- 为非计算癌症研究人员提供关于利用基于AI的工具的实用指南.
- 解释AI在癌症研究应用中的一般原则.
- 为整合人工智能进入研究工作流程提供实用示例.
主要方法:
- 这篇文章概述了人工智能的一般原则,重点关注图像分析,自然语言处理 (NLP) 和药物发现方面的应用.
- 它为具有传统生物科学背景的研究人员提供了使用现成AI软件的指导.
- 它还触及了计算倾向的研究人员开发定制AI管道的方法.
主要成果:
- 人工智能工具可以在日常癌症研究工作流程中显著提高研究生产力.
- 人工智能可以从现有的数据集中提取隐藏的信息,从而导致新的科学发现.
- 对人工智能的基本理解对所有癌症研究人员都是有益的.
结论:
- 非计算式癌症研究人员可以有效地利用人工智能工具来加强他们的工作.
- 人工智能为将先进的计算方法集成到生物研究中提供了可访问的途径.
- 采用人工智能素养使研究人员能够释放癌症研究的新潜力.
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