Unveiling NLR pathway signatures: EP300 and CPN60 markers integrated with clinical data and machine learning for precision NASH diagnosis.

Abstract

Authors

• Marwa Matboli
  Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
• Noha E El-Attar
  Information Systems Department, Faculty of Computers and Artificial Intelligence, Banha University, Banha, Egypt. noha.ezzat@fci.bu.edu.eg.
• Ibrahim Abdelbaky
  Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
• Radwa Khaled
  Biotechnology/Biomolecular Chemistry Department, Faculty of Science, Cairo University, Cairo, Egypt.
• Maha Saad
  Faculty of Medicine, Modern University for Technology and Information, Cairo, Egypt. Electronic address: maha.saad@medicine.mti.edu.eg.
• Amani Mohamed Abdel Ghani
  Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt. Electronic address: dr_amani83@med.asu.edu.eg.
• Eman Barakat
  Tropical Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt. Electronic address: dreman_barakat96@medi.asu.edu.eg.
• Reginia Nabil Mikhail Guirguis
  Department of Internal Medicine, Ain Shams University, Cairo, Egypt.
• Eman Khairy
  Medical biochemistry and molecular biology department, Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt; Department of Basic Medical Sciences, College of Medicine, University of Jeddah, Jeddah 23890, Saudi Arabia. Electronic address: dreman_khairy@med.asu.edu.eg.
• Shaimaa Hamady
  Faculty of Science, Ain Shams University, Cairo, Egypt.

Keywords

External Resources