Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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 ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
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Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
Defensive pass-game coordinator Jonathan Cooley is a name to watch for defensive playcaller openings elsewhere. The Panthers' ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Fountain Life, a leading healthy longevity brand delivering a next-generation preventive health model through advanced diagnostics, restorative therapeutics, and AI-driven health intelligence, today ...
Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...
Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
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