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Combining array-assisted SERS microfluidic chips and machine learning algorithms for clinical leukemia phenotyping.

Talanta - 1 Feb 2025

Yang Kuo, Zhao Jinjin, Huang Ying, Sheng Hai, Wang Zhuyuan

Abstract excerpt

The disease progression and treatment options of leukemia between different subtypes vary considerably, emphasizing the importance of phenotyping. However, early typing of leukemia remains challenging due to the lack of highly sensitive and specific analytical tools. Herein, we propose a SERS-based platform for the classification of acute lymphoblastic T-cell leukemia (T-ALL) and chronic myeloid leukemia (CML)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39492140
DOI: 10.1016/j.talanta.2024.127148

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

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