A new machine learning framework identifies three distinct progression patterns in ALS patients, offering a tool for earlier ...

Unsupervised machine learning identified a gait loading pattern associated with worse clinical and radiographic outcomes in ...

One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

Machine learning has infiltrated much of the technology consumers and businesses use on a regular basis. Widespread adoption of this subset of artificial intelligence may have seemed futuristic not ...

In a recent study published in Nature Communications, the Vorholt lab investigated the properties of plant microbiota involved in host protection against pathogen colonization. They identified the ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...

Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...