Con esta herramienta te facilitamos un acceso a todas las ofertas y demandas de tecnología europeas y a búsquedas de socios para participar en propuestas europeas de I+D publicadas en la red Enterprise Europe Network, pudiendo filtrar los resultados para facilitar las búsquedas más acordes con tus necesidades.

¿Quieres recibir estos listados de oportunidades de colaboración en tu correo de forma periódica y personalizada? Date de alta en nuestro Boletín

Para optimizar los resultados de la búsqueda, se recomienda utilizar términos en inglés.

A Korean R-Y-D institute focusing on ICT-Bio healthcare area is looking for global partners for its glaucoma diagnosis method using CNN (Convolutional Neural Network) in license agreement and others

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOKR20201103001
Publicado:
11/11/2020
Caducidad:
12/11/2021
Resumen:
A Korean R-Y-D institute specialised in glaucoma diagnosis method using CNN (Convolutional Neural Network) wishes to expand its overseas market through a license agreement, technical cooperation and commercial agreement with technical assistance. It is a core technology that detects glaucoma through colour fundus images using Convolutional Neural Network in a cheaper, easier way. Any organisation in need of such a technology can be a potential client.

Details

Tittle:
A Korean R-Y-D institute focusing on ICT-Bio healthcare area is looking for global partners for its glaucoma diagnosis method using CNN (Convolutional Neural Network) in license agreement and others
Summary:
A Korean R-Y-D institute specialised in glaucoma diagnosis method using CNN (Convolutional Neural Network) wishes to expand its overseas market through a license agreement, technical cooperation and commercial agreement with technical assistance. It is a core technology that detects glaucoma through colour fundus images using Convolutional Neural Network in a cheaper, easier way. Any organisation in need of such a technology can be a potential client.
Description:
The latest global medical statics have been expected an ongoing increase in the prevalence of glaucoma as it is rapidly becoming an ageing society. World Health Organisation (WHO) also mentioned glaucoma as one of the three major eye diseases, causing blindness. It is vital to have proper treatment through early medical check-up since glaucoma does not have any obvious symptoms until the late-stage.

As a most eye-catching method, the fundus image enables the ophthalmologist to observe human´s vascular, nerve, retina, etc and detect ophthalmologic diseases in a non-invasive, simple, inexpensive way.

However, the real problem with reading the fundus image is an insufficient number of highly skilled specialists who can detect minute lesions accurately, causing various difficulties in the accuracy of medical check and result. In particular, patients with chronic diseases such as diabetes and high blood pressure have to have a medical check-up of the ophthalmology as well as internal medicine or family medicine which is an inconvenience.

Additionally, since it is found that there is a gap in the diagnosis results of the fundus image by each ophthalmologist, the report on the introduction of AI (Artificial Intelligent) technology for the improvement of the accuracy and consistency in reading the fundus images has recently been announced.

Glaucoma is a disease that can lead to blindness by damaging the Retinal Ganglion Cell (RGC) and its axon and makes patients hardly feel the symptoms such as vision loss until the late-stage. However, due to chronic and irreversible characteristics of glaucoma, if the glaucoma is early discovered, the risk can be slow down through treatment or surgery. In other words, the early detection of glaucoma is important.

Thus, the Korean R-Y-D institute has developed the technology that automatically reads safe images using Convolutional Neural Network for glaucoma diagnosis in an inexpensive, easy way. It is a low-cost diagnostic test with fundus images, accessible to medical devices.

The technology is also able to distinguish between early-stage glaucoma and pre-perimetric open-angle glaucoma and provides deep learning model which can easily check the progress of glaucoma through comparison with the past check-up history.

Its algorithm distinguishes between normal or glaucoma through the model that learned the data obtained by fundus images using CNN, which is the key point.

If it is feasible to read fundus images automatically using AI, it will be able to detect various diseases in early-stage, helping in the decrease in medical expenses and the improvement of the patients´ satisfaction. Plus, it will contribute to reduce the rate of misdiagnosis and improve the quality of medical services due to the decrease in healthcare labour.

There are also more economical opportunities as the development of the new concept of medical devices such as automated glaucoma reading software connected with a digital fundus imaging system or medical device embedded cloud-based automated glaucoma reading, leading to new business development.

The Korean R-Y-D institute is now looking for a global partner interested in deploying this technology on its own platform or developing a new type of glaucoma diagnosis medical device under a license agreement, technical cooperation and commercial agreement with technical assistance.
Advantages and Innovations:
This technology helps to detect glaucoma in early stage, leading to a decrease in medical expenses and the high patients´ satisfaction, reduce the rate of misdiagnosis and the improvement of the medical services quality.

Through the development of a new concept of medical devices such as automated glaucoma reading software connected with a digital fundus imaging system or medical device embedded cloud-based automated glaucoma reading, new business opportunities can be initiated.
Stage of Development:
Field tested/evaluated
IPs:
Secret Know-how,Patents granted
CommeR Statunts Regarding IPR Status:
Patent on glaucoma diagnosis method using Apparatus / USA / 2019

Partner sought

Type and Role of Partner Sought:
- Type of partner sought
: Companies, public institutions, private institutions which deal with glaucoma medical device with image system

- Specific area of activity of the partner
: any companies and institutions in need of glaucoma diagnosis method

- Task to be performed
: Technology transfer, R-Y-D cooperation or technology cooperation for new product development, licencing

Client

Type and Size of Client:
R&D Institution
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English

Keywords

Technology Keywords:
01004001 Applications for Health
01003003 Artificial Intelligence (AI)
06001005 Diagnósticos, diagnosis
06005003 Gestión de información sobre salud
06001012 Investigaciones médicas