Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction

T. Murata; T. Yanagisawa; T. Kurihara; M. Kaneko; S. Ota; A. Enomoto; M. Tomita; M. Sugimoto; M. Sunamura; T. Hayashida; H. Jinno; Y. Kitagawa

doi:10.1016/S0959-8049(20)30564-5

Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction

T. Murata, T. Yanagisawa, T. Kurihara, M. Kaneko, S. Ota, A. Enomoto, M. Tomita, M. Sugimoto, M. Sunamura, T. Hayashida, H. Jinno, Y. Kitagawa

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	S18
Journal	European Journal of Cancer
Volume	138
DOIs	https://doi.org/10.1016/S0959-8049(20)30564-5
Publication status	Published - 2020 Oct

ASJC Scopus subject areas

Oncology
Cancer Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S0959-8049(20)30564-5

Cite this

Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction. / Murata, T.; Yanagisawa, T.; Kurihara, T.; Kaneko, M.; Ota, S.; Enomoto, A.; Tomita, M.; Sugimoto, M.; Sunamura, M.; Hayashida, T.; Jinno, H.; Kitagawa, Y.

In: European Journal of Cancer, Vol. 138, 10.2020, p. S18.

Research output: Contribution to journal › Article › peer-review

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title = "Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction",

author = "T. Murata and T. Yanagisawa and T. Kurihara and M. Kaneko and S. Ota and A. Enomoto and M. Tomita and M. Sugimoto and M. Sunamura and T. Hayashida and H. Jinno and Y. Kitagawa",

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T1 - Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction

AU - Murata, T.

AU - Yanagisawa, T.

AU - Kurihara, T.

AU - Kaneko, M.

AU - Ota, S.

AU - Enomoto, A.

AU - Tomita, M.

AU - Sugimoto, M.

AU - Sunamura, M.

AU - Hayashida, T.

AU - Jinno, H.

AU - Kitagawa, Y.

PY - 2020/10

Y1 - 2020/10

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U2 - 10.1016/S0959-8049(20)30564-5

DO - 10.1016/S0959-8049(20)30564-5

M3 - Article

AN - SCOPUS:85091914998

VL - 138

SP - S18

JO - European Journal of Cancer

JF - European Journal of Cancer

SN - 0959-8049

ER -

Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction

ASJC Scopus subject areas

UN SDGs

Access to Document

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