An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...

Researchers developed sex-specific models using CT imaging and compared their efficacy in predicting the incidence and prevalence of COPD.

Understanding gene regulation may be the key to interpreting human disease genetics. Genes are regulated in part by stretches ...

Material properties such as sound insulation, resistance to extreme heat and thermal expansion originate from how the ...

A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

A critical review evaluates scientific machine learning approaches for predicting coating degradation and corrosion, identifying five persistent limitations of current data-driven models. The authors ...

Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a ...

Machine-learning models developed by University of Miami researchers used clinical, biomarker and imaging data to identify ...