Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

In longitudinal clinical trials, missing data is a threat to scientific integrity. Whether due to patient dropouts, missed visits, or protocol deviations, these gaps can distort results, reduce ...

A conductive hydrogel transforms its random internal structure into a secure, unclonable signature, addressing the challenge ...

AI-powered dash cameras use telematics, driver data, and machine vision to predict and prevent human-error collisions, ...

Objective Health effects of different physical activity domains (ie, during leisure time, work and transport) are generally considered positive. Using Active Worker consortium data, we assessed ...

Introduction Stroke is the second leading cause of death and disability creating a huge economic burden annually. Robot-assisted training (RT) is a promising therapy in stroke rehabilitation, but for ...

A factual look at how probability models are used to create fair and engaging mechanics in tennis-themed digital games ...

Introduction Therapeutic exercise has been used to improve cancer-related dysfunction. Recent studies suggest that exercise ...