This study develops a high-accuracy machine-learning framework to predict and optimize metal-doped MnO2 cathodes for aqueous ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...
RESEARCHERS reported that new transcranial magnetic stimulation (TMS) biomarkers, combined with machine learning, accurately distinguished individuals with major depressive disorder (MDD) from healthy ...
ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
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