Background The optimal surgical strategy for mitral valve (MV) infective endocarditis (IE) remains uncertain. Although valve ...
This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Children received symptomatic relief from palliative radiotherapy, and treatment was well tolerated even after 2 or more ...
Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...
This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
BACKGROUND: This trial aimed to test the effectiveness of a data-driven quality improvement program in primary care on ...
In this conference report from ABRF 2026, the authors reflect on the meeting's insights into core facility research and ...
Who’s at the peak? COVID-19 has hit some countries far harder than others, though differences in the way infections are counted locally make it impossible to make a perfect apples-to-apples comparison ...
Ahead of the nation’s birthday, Pew Research Center identified some prominent trends across key areas of American life: demographics, work, family and economics. Fresh data delivered Saturday mornings ...
The integration of Artificial Intelligence (AI) with multimodal medical data is an emerging field in biomedical informatics, aiming to enhance the accuracy ...
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