A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

A new machine learning tool called T1GRS accurately predicts the genetic risk of developing Type 1 diabetes in both children ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

By analyzing CpG-based DNA methylation, the model achieved 87% accuracy when applied to 31 cases representing 17 different cancer types.

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...