Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data. This open-source framework, called JAXLEY, combines the precision of ...

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

Long Yuan, PhD, director of the Department of Drug Metabolism and Pharmacokinetics at Biogen, explains how artificial ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

Asthma can be predicted using non-biological measurements from the age of 3 years, according to one study. Machine learning models can predict physician-diagnosed asthma in early childhood, a recent ...

Machine learning models can be incredibly valuable tools for business leaders. They can aid in interpreting historic data, making decisions for future initiatives, helping to improve the customer ...

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...

Tonic Textual’s new Custom Entity Types let teams define, train, and deploy entity models on their own data—no data science skills needed.