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

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

Researchers developed predictive models using routine clinical metrics to estimate pain modulation profiles in chronic pain.

Shallow seas serve as critical transition zones connecting land and the deep ocean, supplying essential resources for ...

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and ...

Background Recurrent mitral regurgitation (MR) remains a major limitation of mitral valve (MV) repair in patients with ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Researchers found that long-term driving behavior can reveal early signs of cognitive decline years before clinical diagnosis.

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

The global challenge of ensuring food security has become increasingly complex in the face of social stress, climate change, economic instability, and ...