Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer

Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer

Abstract This study addresses the core issue facing a surgical team during breast cancer surgery: quantitative prediction of tumor likelihood including estimates of prediction error. We have previously reported that a molecular probe, Laser Raman spectroscopy (LRS), can distinguish healthy and tumor...

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Bibliographic Details
Main Authors: Ragini Kothari, Veronica Jones, Dominique Mena, Viviana Bermúdez Reyes, Youkang Shon, Jennifer P. Smith, Daniel Schmolze, Philip D. Cha, Lily Lai, Yuman Fong, Michael C. Storrie-Lombardi
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-85758-6

Internet

https://doi.org/10.1038/s41598-021-85758-6

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