Predicting observable traits from genetic variation remains difficult due to the complex interplay of multiple genes and environmental influences. Widely used statistical approaches are limited in ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, responsible for regulating blood sugar and providing cells with glucose to produce ...

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 ...

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their ...

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

Our integrated multi-omics and machine learning framework makes two key, interconnected contributions. First, it establishes a robust nine-gene expression signature with high accuracy for PSC ...

Depression is a highly common mental health condition that affects millions of people worldwide. Medical professionals have established that the disorder arises from a combination of biological ...