Biomarker profiling and integrating heterogeneous models for enhanced multi-grade breast cancer prognostication.

Journal: Computer methods and programs in biomedicine
PMID: 39096573

Abstract

BACKGROUND: Breast cancer remains a leading cause of female mortality worldwide, exacerbated by limited awareness, inadequate screening resources, and treatment options. Accurate and early diagnosis is crucial for improving survival rates and effective treatment.

Authors

  • Rakesh Chandra Joshi
    Amity Centre for Artificial Intelligence, Amity University, Noida, Uttar Pradesh, India; Centre for Advanced Studies, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India.
  • Pallavi Srivastava
    Department of Biotechnology, Noida Institute of Engineering & Technology, Greater Noida, Uttar Pradesh, India.
  • Rashmi Mishra
    2Fungal Biotechnology Lab, Department of Biotechnology, School of Life Sciences, Pondicherry University, Puducherry, 605014 India.
  • Radim Burget
    Department of Telecommunications, Faculty of Electrical Engineering and Communication, BRNO University of Technology, Czech Republic. Electronic address: burgetrm@feec.vutbr.cz.
  • Malay Kishore Dutta
    Department of Electronics & Communication Engineering, Amity University, Noida, Uttar Pradesh, India. Electronic address: malaykishoredutta@gmail.com.

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