Salivary metabolomics with machine learning for colorectal cancer detection

As the worldwide prevalence of colorectal cancer (CRC) increases, it is vital to reduce its morbidity and mortality through early detection. Saliva‐based tests are an ideal noninvasive tool for CRC detection. Here, we explored and validated salivary biomarkers to distinguish patients with CRC from t...

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Detalles Bibliográficos
Autores principales: Kuwabara, Hiroshi, Katsumata, Kenji, Iwabuchi, Atsuhiro, Udo, Ryutaro, Tago, Tomoya, Kasahara, Kenta, Mazaki, Junichi, Enomoto, Masanobu, Ishizaki, Tetsuo, Soya, Ryoko, Kaneko, Miku, Ota, Sana, Enomoto, Ayame, Soga, Tomoyoshi, Tomita, Masaru, Sunamura, Makoto, Tsuchida, Akihiko, Sugimoto, Masahiro, Nagakawa, Yuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
ORIGINAL ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459332/
https://www.ncbi.nlm.nih.gov/pubmed/35754317
http://dx.doi.org/10.1111/cas.15472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459332/
https://www.ncbi.nlm.nih.gov/pubmed/35754317
http://dx.doi.org/10.1111/cas.15472

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