Multiplex Identification of Post-Translational Modifications at Point-of-Care by Deep Learning-Assisted Hydrogel Sensors.

Qin, Junjie; Guo, Jia; Tang, Guanghui; Li, Lin; Yao, Shao Q

Qin, Junjie; Guo, Jia; Tang, Guanghui; Li, Lin; Yao, Shao Q.

Afiliação

Qin J; Department of Chemistry, National University of Singapore, Singapore, 117543, Singapore.
Guo J; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Tang G; Department of Chemistry, National University of Singapore, Singapore, 117543, Singapore.
Li L; The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, Fujian, China.
Yao SQ; Department of Chemistry, National University of Singapore, Singapore, 117543, Singapore.

Angew Chem Int Ed Engl ; 62(16): e202218412, 2023 04 11.

Article em En | MEDLINE | ID: mdl-36815677

Assuntos

Aprendizado Profundo; Hidrogéis; Animais; Sistemas Automatizados de Assistência Junto ao Leito; Processamento de Proteína Pós-Traducional; Proteínas/química; Fosforilação; Mamíferos/metabolismo

Palavras-chave

Machine Learning; Multiplex Detection; Photonic Crystal Hydrogel; Point-of-Care; Post-Translational Modifications

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrogéis / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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