A deep learning approach to explore the association of age-related macular degeneration polygenic risk score with retinal optical coherence tomography: A preliminary study.

Journal: Acta ophthalmologica
PMID:

Abstract

PURPOSE: Age-related macular degeneration (AMD) is a complex eye disorder affecting millions worldwide. This article uses deep learning techniques to investigate the relationship between AMD, genetics and optical coherence tomography (OCT) scans.

Authors

  • Adam Sendecki
    Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.
  • Daniel Ledwoń
    Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland. Electronic address: daniel.ledwon@polsl.pl.
  • Julia Nycz
    Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany.
  • Anna Wąsowska
    Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.
  • Anna Boguszewska-Chachulska
    Genomed S.A., Warszawa, Poland.
  • Andrzej W Mitas
    Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
  • Edward Wylęgała
    Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.
  • Sławomir Teper
    Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.