A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Ultra-processed food diets may impair muscle health, with MRI findings showing increased fat infiltration in individuals at ...

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

Objective SLE is a systemic autoimmune disease in which the complement system plays a key pathogenic role, yet the ...

This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...

Objective To investigate whether aligning exercise timing with chronotype enhances cardiometabolic and sleep-related benefits ...

Aims To investigate the interaction and combined effects of cardiovascular health (CVH) and socioeconomic status (SES) on ...