Comprehensive statistical and machine learning framework for identification of metabolomic biomarkers in breast cancer.

Journal: Metabolomics : Official journal of the Metabolomic Society
Published Date: Jun 14, 2025

Abstract

INTRODUCTION: Breast cancer is the most common cancer among women, with its burden increasing over the past decades. Early diagnosis significantly improves survival rates and reduces lethality. Innovative technologies are being developed for early detection, making accurate tumor identification crucial.

Authors

  • Ayush Rahangdale
    Dr. D. Y. Patil Art's, Commerce and Science College, Sant Tukaram Nagar, Pimpri, Pune, Maharashtra, 411018, India. ayushrahangdale1610@gmail.com.
  • Shraddha Ranpise
    Dr. D. Y. Patil Art's, Commerce and Science College, Sant Tukaram Nagar, Pimpri, Pune, Maharashtra, 411018, India. shraddha.ranpise@dypvp.edu.in.
  • Shweta Singh Chauhan
    InSilicoMinds, Block-A, Ramky Selenium, Financial District, Gachibowli, Nanakramguda, Hyderabad, Telangana, 500035, India.
  • Nirnith Devireddy
    InSilicoMinds, Block-A, Ramky Selenium, Financial District, Gachibowli, Nanakramguda, Hyderabad, Telangana, 500035, India.
  • Pranav Karmwar
    InSilicoMinds, Block-A, Ramky Selenium, Financial District, Gachibowli, Nanakramguda, Hyderabad, Telangana, 500035, India.

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