A novel machine learning model called Temporal Autoencoders for Causal Inference (TACI) accurately detects changing cause-and ...

An extensive study utilizing the UK Biobank explores the impact of lifetime cannabis use on brain structure and function, ...

Summary: A new method developed by researchers allows scientists to identify unique, redundant, and synergistic causality, ...

Instead, links between cause and effect (called causal interactions or causality) are transient—they frequently appear, ...

Getting to the heart of causality is central to understanding the world around us. What causes one variable—be it a ...

If you’re a regular drinker, your choice of alcoholic beverage could be impacting your overall health more than you realize.

Researchers using machine learning discovered that variations in microbial load in the gut, influenced by age, sex, diet, and ...

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth ...

However, the researchers noted that this study was an observational study and, therefore, can only address associations and ...

Noninvasive liver fibrosis scores are associated with increased heart failure risk, with FIB-4, NFS, and APRI showing ...

The team acknowledges limitations to the work. Because the analysis was based only on associations, they were not able to establish a clear direction of causality, nor could they provide mechanistic ...

Al-Daghistani, Sami 2022. The Foundation of Norms in Islamic Jurisprudence and Theology By Omar Farahat. Cambridge: Cambridge University Press, 2019. Pp. 256. $99.99 (cloth); $80.00 (digital). ISBN: ...