Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

The company behind Claude forged an alliance to put its AI tools in the hands of students at hundreds of community and state ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Growing up multiracial in the 1990s, Gabriel "Joey" Merrin regularly encountered demographic forms that forced an impossible choice: Pick one box. Deny the others. "That act of being forced to choose, ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...