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

The works of Richa Awasthi, a recognised leader in credit risk and digital financial innovation, demonstrates how predictive ...

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

Overview: AI in marketing analytics is experiencing rapid adoption as businesses increasingly rely on intelligent data ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

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

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

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 ...