检测癌症生物标志物的微弱电磁辐射

IF 12.7 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

ACS Central Science Pub Date : 2025-04-09 DOI:10.1021/acscentsci.5c0055610.1021/acscentsci.5c00556

Marcos Dantus,

引用次数: 0

摘要

Zigman和他的同事们利用电场分子指纹和血浆上的机器学习来高精度地检测和区分主要癌症。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detecting the Feeble Electromagnetic Emissions from Cancer Biomarkers

Zigman and colleagues use electric-field molecular fingerprinting and machine learning on blood plasma to detect and differentiate major cancers with high precision.

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来源期刊

ACS Central Science Chemical Engineering-General Chemical Engineering

CiteScore

25.50

自引率

0.50%

发文量

194

审稿时长

10 weeks

期刊介绍： ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.