A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we ...

SMEs are widely recognized as the backbone of Europe’s economy, yet many face persistent challenges in accessing equity ...

GlobalData’s enhanced AI-powered Likelihood of Approval (LoA) model boosts its predictive power, providing probability of a ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

GenAI should be implemented in a way that enhances businerss students’ problem-solving skills without eroding the human ...

The modern enterprise landscape demands sophisticated data solutions that seamlessly blend engineering excellence with advanced analytics. As organizations increasingly migrate to cloud-native ...

Anastasiadi’s team explored spatially offset Raman spectroscopy (SORS), a non-destructive technique that can analyze honey ...

AI is changing everything, including cybersecurity. Here are six creative AI methods you can use to help protect your ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...