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.

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

As well as being a useful format for feeding training data to algorithms, machine learning can quickly build and structure graph databases, drawing connections between data points that would ...

Perhaps that should have been more obvious from the start, since people have been building various machine learning algorithms ... Sellier] is using a genetic algorithm to work within the confines ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

In the medical field, quantum machine learning algorithms can support the development and implementation of personalized healthcare plans by analyzing patients’ genetic information and clinical ...

proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based ...

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 ...