The retina has become a key element for diagnosing illnesses such as systematic hypertension and mellitus diabetes. These illnesses can be detected from an analysis of artery and vein calibration, the length and branch of blood vessels in the human eye, and other parameters. The use of technique, called retinography, is becoming increasingly common in diagnostic tests.

In order to improve the interpretation of retinal images, the BISITE research group developed Altair, a software that expedites and strengthens the analysis of such images, automating tasks that are currently done manually. With regard to previous systems, Altair offers greater precision in the analysis of data, having worked on clearing algorithms, which makes it possible to obtain more information from the images, and to do so automatically. The system is prepared to work by installing software in the required equipment or for its online use.

This development originated from the collaboration between the BISITE research team and those from the Institute of Neurosciences of Castile and Leon. Based on the Institute’s needs, the researchers created a new system that has already raised interest among other companies involved in clinical diagnoses; after creating the first prototype, the system continues to undergo improvements.

Altair earned further recognition after receiving an award from the Campus Entrepreneur of Castile and Leon. Carolina Zato (BISITE), Luis Garcia Ortiz (School of Medicine) and Miguel Angel Merchan (Institute of Neurosciences) are working on this project.

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