Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Introduction Atrial fibrosis identified on cardiac magnetic resonance (CMR) imaging has been proposed as a preprocedural ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Algorithmic trading evolved for decades, but Web3 turns it into something entirely new. See how in this op-ed.

Life's instructions are written in DNA, but it is the enzyme RNA polymerase II (Pol II) that reads the script, transcribing ...

Sampaio, A. , Figueiras, J. and Gomes, A. (2025) BIM Applied to Bridges: Single-Cell Box Deck Modelling Supported by Dynamo ...

Since it was unveiled in 2020, Google DeepMind's game-changing AI tool has helped researchers all over the world to predict ...

Carbohydrate metabolism influences the outcome of host-parasite relationships. This study shows that insect short ...

Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...

The Sentient Exposure Amplifier (SEA (TM)) concentrates on understanding when digital content is most likely to maintain visibility within platform ecosystems. The system evaluates timing relevance, ...

Introduction Depressed mood is a psychological state characterised by sadness or loss of interest in activities, is a common symptom that accompanies most major mental disorders. It is therefore ...