Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...

Artificial Intelligence that detects breast cancer, enables medical imaging in low-resource countries and that identifies the ...

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

Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a ...

Abstract: This letter presents a new robust data-driven predictive control scheme for linear time-varying (LTV) systems with unknown nominal system models. To tackle the challenges arising from the ...

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

Background The Swedish Targeted Health Dialogue (THD) is a widely implemented, individual-focused intervention involving ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Introduction In 2002, hepatitis B vaccines were incorporated into China’s National Immunisation Programme (NIP). In 2009, the ...

These are my go-to libraries for Python data crunching.

New studies find student performance fell across southern California and a large Florida county amid the surge in immigration ...