Scientists from the Turkish Middle Eastern Technical University (Orta Doğu Teknik üniversi, Odtü, Metu) have developed a technology based on artificial intelligence, which allows you to reveal the risk of Alzheimer’s disease.
About this, in an interview with the correspondent of the Anadolu agency, was told by a member of the Pedagogical Council of the Institute of Informatics at the University of Metu and the reign of the United Center for Applied Research in the field of neuronaus and neurotechnology (Nörom) by Aydin Son.
According to him, the development was carried out by interpreting genetic testing using a sample taken from saliva.
He noted that innovation will provide significant assistance to doctors in making a diagnosis.
“people over the age of 65, who show the symptoms of Alzheimer’s disease, such as memory impairment, will be directed to us. After we conduct a genetic analysis, doctors will be able to combine its results with the clinical picture and make a diagnosis based on this,”- He explained.
The interlocutor of the agency said that members of the research team based on the analysis of three large -scale data sets formed by international working groups using artificial intelligence determine genetic profiles that can serve as the risk of the disease at an early stage.
“In the method we have developed, samples of saliva of test participants are taken and their DNA isolate. During the studies, genetic changes were found that increase the risk of the disease 1.5-2 times. As part of our project, a prototype of a molecular diagnostic recruitment has been developed”, -he continued.
According to him, the method was tested in a group of 100 patients with Alzheimer’s disease. “Our project has reached the stage of the prototype. We would like to implement the second phase of the project,” Aydin Sleep said to Eden.
The scientist emphasized that the early and differential diagnosis of Alzheimer’s disease is extremely important in its subsequent treatment.
“We cannot prevent the degenerative phenomena occurring in the brain. However, information about methods that allow us to slow down. We are conducting great importance for early diagnosis,” he said.