Issue |
E3S Web of Conf.
Volume 215, 2020
International Scientific Conference on Biotechnology and Food Technology (BFT-2020)
|
|
---|---|---|
Article Number | 05007 | |
Number of page(s) | 9 | |
Section | Biomedical Technology and Biopharmaceuticals | |
DOI | https://doi.org/10.1051/e3sconf/202021505007 | |
Published online | 02 December 2020 |
Ways of technical science development in ophthalmology
1 Russian Medical Academy of Continuous Professional Education, 2/1, Barrikadnaya Street, Moscow, 125993, Russia
2 National Medical Research Center of Cardiology, 15A, 3rd Cherepkovskaya Street, Moscow, 121552, Russia
* Corresponding author: irina.docent2000@mail.ru
In recent years, in the study of diabetic retinopathy the methods of medical engineering and mathematical modeling with the forecast of the course of diseases and given pathogenetic biomarkers in the lacrimal fluid have been widely used. The theoretical aspects of the research are the developed mathematical criteria. The criteria are the mathematical formulas describing objective data of digital ophthalmological equipment and levels of pathogenetic biomarkers in lacrimal fluid and blood serum. The proposed approach allows to create a decision support sys-tem for predicting the development of diabetic retinopathy and diabetic macular edema. The practical application of the mathematical model is reflected in the developed computer program that enables the ophthalmologist to work with the patient’s data in automatic mode. The use of the program for the diagnosis and prognosis of a patient with diabetic retinopathy is demonstrated. The work on the proposed method gives the opportunity to reduce the time for assessing the patient’s condition and give a timely forecast of the course of the disease, which makes it possible to approach each patient in a personalized way.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.