A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for ...

As human exploitation networks migrate online, artificial intelligence is helping investigators turn a vast ocean of online ...

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

Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...

Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social ...

This study quantitatively investigates the relationship between the implementation of waste-to-resource systems and the ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

So, you’ve heard about big data, right? It’s that massive amount of information businesses collect these days.