Introduction This project aims to comprehensively examine the incidence of suicidality, individual and population characteristics, and health pathways, for a cohort of Australian veterans using linked ...

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...

Objective To estimate the efficacy of exercise on depressive symptoms compared with non-active control groups and to determine the moderating effects of exercise on depression and the presence of ...

Introduction Mitochondrial dysfunction and disrupted cerebral energy metabolism have been increasingly linked to the pathophysiology of schizophrenia. Preclinical studies suggest that certain atypical ...

Artificial intelligence (AI) is rapidly transforming biomarker discovery by unlocking insights from vast and complex datasets ...

Leeron is a New York-based writer who specializes in covering technology for small and mid-sized businesses. Her work has been featured in publications including Bankrate, Quartz, the Village Voice, ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...

Introduction Intimate partner violence (IPV) affects an estimated 27% of women globally, with consequences spanning mental, ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

A new study finds two neurology drugs cost less without insurance, revealing how complex drug pricing can make medicine more ...

Research shows asthma and multi-food allergies elevate the odds of reactions in oral food challenges, emphasizing the ...