Predicting drug resistance

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.

Authors

Nicole Arellano (ORCID: https://orcid.org/0000-0003-1618-0467)
Shannon Elf (ORCID: https://orcid.org/0000-0002-8845-3818)

Institutions

University of Utah (US)

Publication Details

Journal: eLife
Published: 2024-11-06
DOI: https://doi.org/10.7554/elife.103775
Primary Topic: Chronic Myeloid Leukemia Treatments
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predicting drug resistance

Nicole Arellano, Shannon Elf

Nov 6, 2024

eLife

Chronic Myeloid Leukemia Treatments

article

Predicting drug resistance

Nicole Arellano, Shannon Elf

November 6, 2024article en

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.

eLifeVol. 13

University of Utah (US)

Good health and well-being

Openalex Percentile: Top 67%

Chronic Myeloid Leukemia Treatments

DOI Open Access PDF OpenAlex

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Predicting drug resistance — Nicole Arellano, Shannon Elf · eLife (2024) | TGRS Research Map | TGRS