Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
14d
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings Accurate land use/land cover (LULC) classification remains a persistent ...
Background Aortic stenosis (AS) frequently coexists with heart failure (HF), but its prevalence, prognostic impact and management across the full HF spectrum remain incompletely characterised. Methods ...
17d
Rising Demand: Why Door-to-Door Shipping from China to Canada Has Become a Preferred Import Option
SHENZHEN, GUANGDONG, CHINA, January 9, 2026 /EINPresswire.com/ -- Shenzhen Senghor Sea & Air Logistics Co., Ltd., a ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
Conclusions This study suggests that a decrease in positive leadership behaviours has a hazardous effect on workers’ level of ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
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