Artificial Intelligent Label-Free SERS Profiling of Serum Exosomes for Breast Cancer Diagnosis and Postoperative Assessment.

Xie, Yangcenzi; Su, Xiaoming; Wen, Yu; Zheng, Chao; Li, Ming

Xie, Yangcenzi; Su, Xiaoming; Wen, Yu; Zheng, Chao; Li, Ming.

Affiliation

Xie Y; School of Materials Science and Engineering, Central South University, Changsha, Hunan 410083, China.
Su X; School of Materials Science and Engineering, Central South University, Changsha, Hunan 410083, China.
Wen Y; College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
Zheng C; School of Materials Science and Engineering, Central South University, Changsha, Hunan 410083, China.
Li M; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China.

Nano Lett ; 22(19): 7910-7918, 2022 10 12.

Article de En | MEDLINE | ID: mdl-36149810

Sujet(s)
Mots clés

artificial intelligence; breast cancer subtypes; exosomes; liquid biopsy; surface-enhanced Raman spectroscopy

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du sein / Exosomes Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Female / Humans Langue: En Journal: Nano Lett Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique

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