Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation.

Zhang, Jintao; Yin, Jinchang; Lai, Ruiran; Wang, Yue; Mao, Baorui; Wu, Haonan; Tian, Li; Shao, Yuanzhi

Zhang, Jintao; Yin, Jinchang; Lai, Ruiran; Wang, Yue; Mao, Baorui; Wu, Haonan; Tian, Li; Shao, Yuanzhi.

Afiliação

Zhang J; State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Yin J; State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Lai R; Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China.
Wang Y; State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Mao B; State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Wu H; State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Tian L; State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Shao Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.

Nanomaterials (Basel) ; 13(6)2023 Mar 12.

Article em En | MEDLINE | ID: mdl-36985918

Palavras-chave

high-throughput prediction; machine learning; photothermal tumor ablation; process optimization; silica-coated gold nanorods

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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