Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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 ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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 ...

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

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 ...

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

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...