Comprehensive machine learning models for predicting therapeutic targets in type 2 diabetes utilizing molecular and biochemical features in rats.

Journal: Frontiers in endocrinology
PMID:

Abstract

INTRODUCTION: With the increasing prevalence of type 2 diabetes mellitus (T2DM), there is an urgent need to discover effective therapeutic targets for this complex condition. Coding and non-coding RNAs, with traditional biochemical parameters, have shown promise as viable targets for therapy. Machine learning (ML) techniques have emerged as powerful tools for predicting drug responses.

Authors

  • Marwa Matboli
    Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Hiba S Al-Amodi
    Biochemistry Department, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
  • Abdelrahman Khaled
    Bioinformatics Group, Center of Informatics Sciences (CIS), School of Information Technology and Computer Sciences, Nile University, Giza, Egypt.
  • Radwa Khaled
    Biotechnology/Biomolecular Chemistry Department, Faculty of Science, Cairo University, Cairo, Egypt.
  • Marian M S Roushdy
    Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Marwa Ali
    Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Gouda Ibrahim Diab
    Biomedical Engineering Department, Egyptian Armed Forces, Cairo, Egypt.
  • Mahmoud Fawzy Elnagar
    Zoology Department, Faculty of Science, Ain Shams University, Cairo, Egypt.
  • Rasha A Elmansy
    Anatomy Unit, Department of Basic Medical Sciences, College of Medicine and Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
  • Hagir H TAhmed
    Anatomy Unit, Department of Basic Medical Sciences, College of Medicine and Medical Sciences, AlNeelain University, Khartoum, Sudan.
  • Enshrah M E Ahmed
    Pathology Unit, Department of Basic Medical Sciences, College of Medicine and Medical Sciences, Gassim University, Buraydah, Saudi Arabia.
  • Doaa M A Elzoghby
    Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Hala F M Kamel
    Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Mohamed F Farag
    Medical Physiology Department, Armed Forces College of Medicine, Cairo, Egypt.
  • Hind A ELsawi
    Department of Internal Medicine, Badr University in Cairo, Badr, Egypt.
  • Laila M Farid
    Pathology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Mariam B Abouelkhair
    Pathology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Eman K Habib
    Department of Anatomy and Cell Biology, Faculty of Medicine, Galala University, Attaka, Suez Governorate, Egypt.
  • Heba Fikry
    Department of Histology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Lobna A Saleh
    Department of Clinical Pharmacology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
  • Ibrahim H Aboughaleb
    Biomedical Engineering Department, Egyptian Armed Forces, Cairo, Egypt.