The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed ...
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Common blood signals explain why chronic diseases cluster as we age
This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
Traffic crashes remain a major cause of injury and death in the United States. More than 120 people die on US roads each day, ...
Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...
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