Creating an artificial intelligence technology to monitor genetic mutations that cause brain diseases

The researchers trained the AI ​​system on 200,000 mutations in human gene data until the software was able to identify the mutations in the new data.

And deep learning can detect the signs inherent in mutations with greater accuracy than the ability of humans to monitor them by sight.

In their study, published in the scientific journal Nature Biotechnology, the researchers indicated that monitoring genetic mutations is the first step in developing new treatments for many intractable diseases.

The researchers released an open source version of the developed computer program, which helps researchers around the world to train artificial intelligence networks in order to reach more accurate monitoring of the genetic mutations involved.