Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment - Takeaways - MDSpire

Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment

  • By

  • Chunyan Lan

  • Ying Peng

  • Mateng Bai

  • Hengtong Zuo

  • Yue Li

  • Hainan Wu

  • Ting Zhang

  • Xin Zhu

  • Jie He

  • Dan Guo

  • Xiaofang Chen

  • Hongmei Zhao

  • Huafang Gao

  • December 17, 2025

  • 0 min

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  • 1

    This study integrates femtosecond label-free imaging and imaging mass spectrometry with machine learning for breast cancer margin assessment.

  • 2

    Taurine, threonate, and glutamate were identified as biomarkers for classifying breast cancer and tumor-adjacent noncancerous tissues.

  • 3

    Elevated taurine levels were linked to poor overall survival in breast cancer patients, indicating its potential as a prognostic biomarker.

  • 4

    The integration of imaging techniques allows for rapid visualization of cellular structures and metabolites in unlabeled breast tissues.

  • 5

    Accurate margin assessment is crucial in breast-conserving surgery to reduce the need for re-excision and improve patient outcomes.

Original Source(s)

Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment

  • by Chunyan Lan, Ying Peng, Mateng Bai, Hengtong Zuo, Yue Li, Hainan Wu, Ting Zhang, Xin Zhu, Jie He, Dan Guo, Xiaofang Chen, Hongmei Zhao, Huafang Gao

  • December 17, 2025

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