We partnered with CIBIR to develop an artificial intelligence system based on machine learning capable of discovering patterns. This system will learn from thousands of eye images, classifying the presence or absence of ß-peptide amyloid.
Alzheimer’s disease is a neurodegenerative disease for which there is no treatment. It is a progressive disease that causes brain cells to gradually die, and the first symptoms are loss of memory or loss of abilities.
The diagnosis of Alzheimer’s usually is in the very advanced stages of the disease, which is why it is of the utmost importance to be able to make an early diagnosis of the disease, to be able to begin treatments as early as possible.
We have partnered with the Biomedical Research Center of La Rioja (CIBIR) to develop an artificial intelligence system based on machine learning capable of discovering patterns that can help in the early diagnosis and stages of the disease. This system will learn from thousands of eye images in a laboratory environment, classifying the presence or absence of ß-peptide amyloid.
The goal of this research project is to create a system capable of recognizing whether a mouse will develop Alzheimer’s based on an image taken from the back of its eye. The studies carried out have shown that in the ocular fundus of the mice appear corresponding spots with deposits of a substance (amyloid B peptide), which are indicative of a previous phase to the appearance of Alzheimer’s. Therefore, this early detection will mean the implementation of measures to achieve the delay of the disease even before it appears.