文章：

给癌症研究人员的人工智能指南

 A guide to artificial intelligence for cancer researchers

原文发布日期：2024-05-16

DOI: 10.1038/s41568-024-00694-7

类型: Review Article

开放获取: 否

英文摘要：

Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to a readily accessible tool for cancer researchers. AI-based tools can boost research productivity in daily workflows, but can also extract hidden information from existing data, thereby enabling new scientific discoveries. Building a basic literacy in these tools is useful for every cancer researcher. Researchers with a traditional biological science focus can use AI-based tools through off-the-shelf software, whereas those who are more computationally inclined can develop their own AI-based software pipelines. In this article, we provide a practical guide for non-computational cancer researchers to understand how AI-based tools can benefit them. We convey general principles of AI for applications in image analysis, natural language processing and drug discovery. In addition, we give examples of how non-computational researchers can get started on the journey to productively use AI in their own work.

摘要翻译： 

人工智能（AI）已实现普及化应用。它从一种专业资源逐步发展为癌症研究人员触手可及的工具。基于AI的工具不仅能提升日常科研工作流程的效率，更能从现有数据中挖掘隐藏信息，从而推动新的科学发现。掌握这些工具的基础应用能力对每位癌症研究者都大有裨益。专注于传统生物科学的研究人员可通过现成软件使用AI工具，而更具计算背景的研究者则能自主开发基于AI的软件流程。本文为非计算背景的癌症研究者提供实用指南，帮助理解AI工具如何为其研究赋能。我们阐述了AI在图像分析、自然语言处理和药物发现领域应用的通用原则，并通过具体案例展示非计算背景研究人员如何在自己的工作中高效启用AI技术。

原文链接：

 A guide to artificial intelligence for cancer researchers