A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Background Contemporary guidelines by the European Society for Cardiology and American College of Cardiology/American Heart Association for the treatment of non-acute myocardial ischaemic syndromes ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

This uncertainty primarily arises from the limitations in modeling gravitational wave signals. Just as accurately determining the location of an earthquake source requires precise models of the ...

Renewable energies are of paramount importance when it comes to energy consumption. They provide reliable power sources and fuel diversification, which improves energy security and helps reduce the ...

Understanding diet composition is fundamental to making conservation and management decisions about depleted species, particularly when nutritional stress is a potential threat hindering recovery.

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...