
This scientific advancement aims to address the challenge faced by millions of patients around the world, where their genetic mutations remain undiagnosed due to the scarcity of available information about them.
Researchers emphasize that this model significantly outperforms existing tools, demonstrating great success in clinical trials. It was able to identify the most harmful mutation in children with developmental disorders in 98% of the cases included in the study. Furthermore, the model revealed genes not previously known to be related to these disorders.
One of the important features of “popEVE” is its low energy consumption, making it a suitable option for countries with limited resources. It has already been used in practical applications, including helping doctors in Senegal identify the appropriate treatment for a child with muscular atrophy.