The Paris-based startup DreamUp Vision has created software that can analyze images of patients’ retina for earlier recognition of diseases that may cause blindness, specially focusing on diabetic retinopathy. The innovative software use deep learning algorithms to perform quick detection of complicated patterns in retina images, and can be implemented both as mobile and web application.
Using mobile devices with retinal camera to take a high-quality photo of the optical fundus allow retina scans to become a simple medical act performed by other health professionals than ophthalmologists. For example, general practitioners and nurses are more often in contact with diabetic patients, making scans more accessible, as well as cheaper. A web-version could analyze photos of the retina provided from any devices and location.
The innovative deep learning solution has the opportunity of screening and diagnosing diabetic retinopathy, as well as monitoring progression of the disease. The technology could not only improve care, but also improve access and capacity to care, helping millions of people with risk of the disease. This is especially important in rural and remote areas across the globe that lack ophthalmologists. The number of people living with diabetes is expected to increase as a result of an aging population, rising prevalence of obesity and sedentary lifestyles. This highlight the importance of the technology and the huge potential of the startup.
DreamUp Vision has previously been part of Eye Focus accelerator, the world’s first innovation program for companies producing products for preventing, curing and living with eye disease, as well as Accelerateur Allianz, an accelerator dedicated to Big Data, IoT & wearables, and fintech. DreamUp Vision was also the winner of startup pitch competition of Differential Medicine in 2015, as well as one of eight finalists in the Health and Wearable Technologies category of the SXSW Accelerator pitch competition.