Machine learning identifies factors that may determine the age of onset of Huntington's disease

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
The Stanford Daily

Research Roundup: Brain degeneration, machine learning for identifying diseases and AI-generated genetic code

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
GEN

Machine Learning Engineers Bespoke Cas9 Enzymes for Gene Editing

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...
EurekAlert!

From DNA to harvest: genomic prediction sharpens rapeseed breeding accuracy

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how optimized genomic prediction models can reliably forecast flowering time, yield ...