解码适应性免疫库以预测疾病

IF 29.4 1区医学 Q1 RHEUMATOLOGY

Nature Reviews Rheumatology Pub Date : 2025-04-10 DOI:10.1038/s41584-025-01249-2

Laura F. Su

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引用次数: 0

摘要

一项简单的血液测试可以诊断或预测一个人患自身免疫性疾病的风险，这将给医学带来革命性的变化，并改变病人的护理。Zaslavsky等人发表在《科学》杂志上，他们利用一个强大的机器学习框架推进了这一愿景，该框架利用来自T细胞和B细胞的免疫受体序列进行疾病分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Decoding the adaptive immune repertoire for disease prediction

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Decoding the adaptive immune repertoire for disease prediction

A simple blood test that can diagnose or predict one’s risk for autoimmune diseases would revolutionize medicine and transform patient care. Published in Science, Zaslavsky et al. advance this vision with a powerful machine learning framework that leverages immune receptor sequences from T cells and B cells for disease classification.

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来源期刊

Nature Reviews Rheumatology 医学-风湿病学

CiteScore

29.90

自引率

0.90%

发文量

137

审稿时长

6-12 weeks

期刊介绍： Nature Reviews Rheumatology is part of the Nature Reviews portfolio of journals. The journal scope covers the entire spectrum of rheumatology research. We ensure that our articles are accessible to the widest possible audience.