The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken ...