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 ...

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 ...

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 ...

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, ...

In my first semester of graduate school at Tufts University, I sat across from a young professor as he pitched me on joining his lab to work on genetic code expansion (GCE). Even though I'd just ...

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn baby's health, including whether genetic changes may be linked to a ...

Machine learning is being used to create predictive algorithms for everything from stock market forecasts and customer prospecting to predicting when manufacturing equipment will fail and which ...