Researchers at Princeton and the Simons Foundation turned the traditional approach on its head, teaching a machine learning algorithm to look for the genetic relationships that could cause autism.

Machine learning is hard. Algorithms in a particular ... To do this, AutoML-Zero uses what are known as genetic algorithms, which have been around since the 1980s, but have fallen out of use ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Polygenic risk scores, or PRS, reflect a person's genetic susceptibility to a particular disease ... which people are now questioning. With AI and machine learning algorithms, you have to be really ...

These data were then used to train a machine learning algorithm to help researchers design the best fix for a given genetic flaw, which promises to speed up efforts to bring prime editing into the ...

And their method could even be used to find new genetic markers of heart disease ... To develop their model, the researchers used a machine learning algorithm called an autoencoder, which ...