A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...
NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
MANCHESTER, UNITED KINGDOM, February 11, 2026 /EINPresswire.com/ — Evolving Systems has launched Artificial Intelligence Quotient (AIQ), a cutting-edge AI platform that transforms telecom subscriber ...