Bridge2AI 发布 AI-ready 基因组数据建议
Bridge2AI recommendations for AI-ready genomic data
美国国立卫生研究院（NIH）组建的 Bridge to Artificial Intelligence（Bridge2AI）联盟中，基因组信息标准团队（GIST）在一份报告中提出了让基因组数据集达到 AI-ready 的采集、存储、标识与规范使用建议。报告指出，随着 AI 技术在医学和生物信息学研究中应用增多，以及基因组测序技术广泛用于生物医学研究，基因组数据已成为支撑 AI 模型的关键数据类型，因此需要按统一标准整理才能被 AI 模型使用。该报告以建议形式给出上述四方面的做法，目标是让基因组数据支撑 AI 与机器学习应用、推动医学新发现。
来源：Bioinformatics Advances · doi.org
Bridge2AI 的基因组信息标准团队把 AI-ready 基因组数据拆成采集、存储、标识与使用四类建议，可对照检查自有数据流程。
Rapid advancements in technology have led to an increased use of artificial intelligence (AI) technologies in medicine and bioinformatics research. In anticipation of this, the National Institutes of Health (NIH) assembled the Bridge to Artificial Intelligence (Bridge2AI) consortium to coordinate development of “AI-ready” datasets that can be leveraged by AI models to address grand challenges in human health and disease. The widespread availability of genome sequencing technologies for biomedical research presents a key data type for informing AI models, necessitating that genomics data sets are “AI-ready.” To this end, the Genomic Information Standards Team (GIST) of the Bridge2AI Standards Working Group has documented a set of recommendations for maintaining AI-ready genomics datasets. In this report, we describe recommendations for the collection, storage, identification, and proper use of genomics datasets to enable them to be considered “AI-ready” and thus drive new insights in medicine through AI and machine learning applications.