AI helped the paralyzed animals start moving

Experts from the University of Lausanne (Switzerland) have created a program to detect damaged cells in paralysis. Artificial intelligence, called Augur, compares data on cells from the spinal cord of healthy and paralyzed animals: it helps to detect neurons, which impact will help to achieve maximum effect. Today, Augur has already helped restore the mobility of mice immobilized by spinal cord injury. Scientists believe that this technology will not only help people recover more quickly from injuries, but also to quickly identify the sources of problems in different diseases. 

There is a reason why the rehabilitation of people paralyzed by spinal cord injury is often ineffective. The fact is that among the many neurons need to find exactly those cells whose recovery gives the maximum chance of return mobility. For instance, specialists from Lausanne use physical exercises combined with chemical and electrical stimulation for the rehabilitation of paralyzed animals. The experts found out that the last two methods lead to the desired result only when affecting some of the 50 types of spinal cord neurons in mice. 

The program, called Augur, has learned to detect cells that are as different as possible in paralyzed and healthy mice. Stimulation of these priority neurons contributed to maximum gene expression, which allowed restoring lost functions. As a result, animals that had been diagnosed with artificial intelligence began to recover rapidly and started moving.

Rodents from the control group, which also received treatment - but without targeting neurons - remained immobile. According to the authors, this diagnostic method can be used to examine patients with cancer, blood disease, various infectious diseases as well. By comparing the affected and healthy tissue, Augur quickly discovers the cells that are the source of the problem. 

July 21, 2020, 11:08 a.m.

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