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Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X.
Leong, Yong Xiang; Tan, Emily Xi; Leong, Shi Xuan; Lin Koh, Charlynn Sher; Thanh Nguyen, Lam Bang; Ting Chen, Jaslyn Ru; Xia, Kelin; Ling, Xing Yi.
Afiliación
  • Leong YX; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
  • Tan EX; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
  • Leong SX; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
  • Lin Koh CS; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
  • Thanh Nguyen LB; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
  • Ting Chen JR; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
  • Xia K; Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore.
  • Ling XY; Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore.
ACS Nano ; 16(9): 13279-13293, 2022 09 27.
Article en En | MEDLINE | ID: mdl-36067337
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Nano Año: 2022 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Nano Año: 2022 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Estados Unidos