A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including death, dementia, and myocardial infarction (MI).
1don MSN
DLSS 4.5 is now live — I tested Nvidia’s upscaler to see which model you should actually use
Nvidia's DLSS 4.5 is now available to all gamers, so I put it to the test to see whether it's worth using, and figure out ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...
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 ...
It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...
Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...
By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
This study proposes a valuable and interpretable approach for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage from non-contrast computed tomography. The evidence ...
Abstract: Evaluating donor heart function during ex situ heart perfusion (ESHP) is crucial for determining transplantation suitability. Cardiac Index (CI) is a key hemodynamic parameter widely used to ...
Abstract: Traditional multivariate statistical process monitoring algorithms focus on whether measurements are significantly shifted compared with the training data, but lack further analysis of the ...
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