Predicting drug resistance.

IF 6.4 1区生物学 Q1 BIOLOGY

eLife Pub Date : 2024-11-06 DOI:10.7554/eLife.103775

Nicole S Arellano, Shannon E Elf

引用次数: 0

Abstract

A new approach helps examine the proportion of cancerous and healthy stem cells in patients with chronic myeloid leukemia and how this influences treatment outcomes.

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预测耐药性。

一种新方法有助于研究慢性骨髓性白血病患者体内癌干细胞和健康干细胞的比例，以及这对治疗效果的影响。

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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来源期刊

eLife BIOLOGY-

CiteScore

12.90

自引率

3.90%

发文量

3122

审稿时长

17 weeks

期刊介绍： eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.