Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
3don MSN
Turning COâ‚‚ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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