Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

New research shows machine-learning models predict suicide risk better than existing methods, emphasizing the critical role ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

Microplastic pollution in agricultural soils is an emerging threat to food safety and ecosystem health, yet detecting these ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...