By creating a machine-learning algorithm that predicts how human and mouse cells respond to CRISPR-induced breaks in DNA, a team of researchers discovered that cells often repair broken genes in ...

Novel machine learning method can improve genetic risk assessments for non-white populations Researchers have developed a scalable AI-based approach that makes use of genetic studies that include ...

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.

Scientists have utilized a machine-learning process and clinical natural language processing (CNLP) to diagnose rare genetic diseases in record time. This new method is speeding answers to ...

The new algorithm overcomes this barrier by exploring how numerous genetic mutations collectively influence a tumor's reaction to drugs that impede DNA replication.

Weill Cornell Medicine researchers are using machine learning, a form of artificial intelligence, to shed light on genetic mutations associated with spina bifida.

This research roundup explores the role of sugar molecules in brain degeneration, a machine learning algorithm to detect diseases and a generative AI tool that can generate original genetic code.

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 ...