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VarChat:用于解读人类基因组变异的生成式人工智能助手。

VarChat: the generative AI assistant for the interpretation of human genomic variations.

作者信息

De Paoli Federica, Berardelli Silvia, Limongelli Ivan, Rizzo Ettore, Zucca Susanna

机构信息

enGenome srl, via Ferrata, 5, Pavia, 27100, Italy.

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata, 5, Pavia, 27100, Italy.

出版信息

Bioinformatics. 2024 Mar 29;40(4). doi: 10.1093/bioinformatics/btae183.

Abstract

MOTIVATION

In the modern era of genomic research, the scientific community is witnessing an explosive growth in the volume of published findings. While this abundance of data offers invaluable insights, it also places a pressing responsibility on genetic professionals and researchers to stay informed about the latest findings and their clinical significance. Genomic variant interpretation is currently facing a challenge in identifying the most up-to-date and relevant scientific papers, while also extracting meaningful information to accelerate the process from clinical assessment to reporting. Computer-aided literature search and summarization can play a pivotal role in this context. By synthesizing complex genomic findings into concise, interpretable summaries, this approach facilitates the translation of extensive genomic datasets into clinically relevant insights.

RESULTS

To bridge this gap, we present VarChat (varchat.engenome.com), an innovative tool based on generative AI, developed to find and summarize the fragmented scientific literature associated with genomic variants into brief yet informative texts. VarChat provides users with a concise description of specific genetic variants, detailing their impact on related proteins and possible effects on human health. In addition, VarChat offers direct links to related scientific trustable sources, and encourages deeper research.

AVAILABILITY AND IMPLEMENTATION

varchat.engenome.com.

摘要

动机

在基因组研究的现代时代,科学界正目睹已发表研究结果数量的爆炸式增长。虽然这些丰富的数据提供了宝贵的见解,但它也给遗传专业人员和研究人员带来了紧迫的责任,即了解最新的研究结果及其临床意义。基因组变异解读目前在识别最新和相关的科学论文方面面临挑战,同时还需要提取有意义的信息以加速从临床评估到报告的过程。在这种情况下,计算机辅助文献检索和总结可以发挥关键作用。通过将复杂的基因组研究结果综合成简洁、可解释的摘要,这种方法有助于将大量的基因组数据集转化为临床相关的见解。

结果

为了弥合这一差距,我们推出了VarChat(varchat.engenome.com),这是一种基于生成式人工智能的创新工具,旨在查找和总结与基因组变异相关的零散科学文献,并将其转化为简短但信息丰富的文本。VarChat为用户提供特定基因变异的简明描述,详细说明其对相关蛋白质的影响以及对人类健康的可能影响。此外,VarChat提供与相关科学可靠来源的直接链接,并鼓励进行更深入的研究。

可用性和实施

varchat.engenome.com。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d77d/11055464/f21262200cad/btae183f1.jpg

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