Predicting the outcome of mental health therapy is a vital goal. Statistical models have been used. Now, we turn to using AI ...

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

Menarche marks a major turning point in female development and usually signals that only limited height gain remains.

Using routinely collected baseline data across 11 registries, prediction of remission showed limited discrimination and was best suited to ruling out remission. Performance was similar for a ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Dubious data sets are being used to train artificial-intelligence models that are designed to predict people’s risk of stroke and diabetes, researchers report in a preprint 1 on medRxiv. Some of the ...

New research suggests that weight gained in the first 12 weeks of antipsychotic treatment is the biggest driver of long-term ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

From predicting future home values to identifying high-growth neighborhoods, AI-powered analytics are transforming the housing market. These tools process massive datasets to uncover patterns ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...