Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals

Autor: Daniel C. Braz, Mário Popolin Neto, Flavio M. Shimizu, Acelino C. Sá, Renato S. Lima, Angelo L. Gobbi, Matias E. Melendez, Lídia M.R. B. Arantes, André L. Carvalho, Fernando V. Paulovich, Osvaldo N. Oliveira Jr

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The diagnosis of cancer and other diseases using data from non-specific sensors - such as the electronic tongues (e-tongues) - is challenging owing to the lack of selectivity, in addition to the variability of biological samples. In this study, we de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ea93065f2b0b8cb87ea00722c5f4ead
https://pubmed.ncbi.nlm.nih.gov/35240367