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

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

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 ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

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 ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...