The neural network was trained on the extensive databases of electronic medical records of the University Medical Center. The result was an accurate prediction of the onset of Alzheimer's disease in 72% of cases, Mir24 reports.

At the same time, Artificial Intelligence relied on indicators such as cholesterol levels, hypertension and vitamin D deficiency. These data did not depend on the gender of the patients. At the same time, men had separate signs of erectile dysfunction and prostate enlargement, and women had osteoporosis, writes the journal Nature Aging (NatAge).

Alzheimer's disease is considered the most common form of dementia. The disease most often affects the elderly over the age of 65. Symptoms include progressive memory loss, cognitive impairment, and various neurological changes. With early detection, the trajectory of the disease can be corrected, as well as its consequences can be alleviated.