Humans have a superpower that makes us uniquely capable of controlling the world: our ability to understand cause and effect ...

Almost half of people who died with inflammatory bowel disease (IBD) died prematurely, according to a study published in CMAJ (Canadian Medical Association Journal) that used machine learning models ...

I write a lot about both brain health and fitness for work. Coffee might be great for both, I’ve learned; I’ve also been ...

A new AI model can predict the likelihood of premature death from inflammatory bowel disease (IBD) with around 95% accuracy.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

A recent segment on "Revista Buenos Días" from Cuban Television delved into the linguistic impact of urban music lyrics, ...

Two UIC professors list their questions for the man set to lead "the crown jewel” of American biomedical science.

A study conducted in Italy found that individuals with a fearful attachment pattern tended to exhibit stronger symptoms of ...

Stephen Hawking's 1966 PhD thesis, Properties of Expanding Universes, laid the groundwork for his renowned contributions to ...