A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

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 ...

A machine learning model, T1GRS, that used 160 genetic risk signals identified by researchers, improved prediction of type 1 diabetes (T1D) compared to a previous genetic risk score (GRS) in Europeans ...

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 ...

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 ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...