Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration.

Journal: Pathology, research and practice
Published Date: Sep 26, 2024

Abstract

PURPOSE: Pancreatic cancer is a lethal type of cancer with most of the cases being diagnosed in an advanced stage and poor prognosis. Developing new diagnostic and prognostic markers for pancreatic cancer can significantly improve early detection and patient outcomes. These biomarkers can potentially revolutionize medical practice by enabling personalized, more effective, targeted treatments, ultimately improving patient outcomes.

Authors

  • Arian Karimi Rouzbahani
    Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran; USERN Office, Lorestan University of Medical Sciences, Khorramabad, Iran.
  • Ghazaleh Khalili-Tanha
    Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Yasamin Rajabloo
    Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Fatemeh Khojasteh-Leylakoohi
    Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Hassan Shokri Garjan
    Department of Health Information Technology, School of Management University of Medical Sciences, Tabriz, Iran.
  • Elham Nazari
    Proteomics Research Center, System Biology Institute, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Elham.Nazari@sbmu.ac.ir.
  • Amir Avan
    Molecular Medicine Group, Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

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