Using a Neural Network to Identify Chromatid Cohesion Defects
In a groundbreaking research study, scientists have used a neural network to identify chromatid cohesion defects in cells. Chromatid cohesion is a process that keeps the two copies of a chromosome together during cell division, and defects in this process can lead to genetic disorders. Until now, identifying possible defects has been a laborious process, but this new development promises to make the process much faster and more accurate. The neural network was trained using data from over 10,000 cells and was able to identify defects with an accuracy of 94%. This breakthrough could lead to more precise and targeted treatments for genetic disorders in the future.
source: Phys.org