# We were awarded with a JOVIN grant by UNICEN

Our project “Towards a smart platform for remote diabetic retinopathy screening” was granted with AR$50.000 by UNICEN Our project entitled “Towards a smart platform for remote diabetic retinopathy screening: quality control in fundus photographs using autoencoders” (Hacia una plataforma inteligente para el tamizado remoto de la retinopatía diabética: control de calidad de fotografías de fondo de ojo utilizando autocodificadores) was granted with AR$ 50.000 by UNICEN. This grant is part of the initiative Programa de Fortalecimiento a la Ciencia y la Tecnología en Universidad Nacionales from Secretaría de Ciencia, Arte y Tecnología at UNICEN.

In this project we aim to develop one of the key modules for retinar, our AI-guided telemedicine platform for remote diabetic retinopathy screening. Our goal is to develop AI models for automatically detecting low quality fundus photographs, in order to avoid transmissions of suboptimal scans and to recommend the technicians to reacquire the images before the patient leaves the appointment.

##### José Ignacio Orlando
###### Assistant Researcher

My research interests include machine learning and computer vision techniques for medical imaging applications, mostly centered in ophthalmology.