Five Carnegie Mellon University faculty members are among the 126 recipients of 2026 Sloan Research Fellowships, which honor early career scholars whose achievements put them among the best scientific ...
A Republic investigation found 'crime-free lease addendums' don't reduce crime but fast-track evictions, harming low-income and non-white renters.
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...
Public health recommendations suggest individuals can resume normal activities 5 days after symptom cessation. However, our study finds that full recovery can take longer, indicating that delayed ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...
Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...
1don MSN
Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
p-values are commonly used as summaries of evidence for association between a genetic variant and phenotype, but they have an important limitation in that they are unable to quantify how confident one ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
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