News-Medical.Net

Machine learning model can predict 28-day mortality in sepsis patients

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
News-Medical.Net

Machine learning model predicts liver cancer risk with high accuracy

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 ...

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, ...
Yale Environment 360

Machine learning model predicts PTSD symptom severity over time

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, ...
The American Journal of Managed Care

Intraocular Pressure in Glaucoma Predicted Through Machine-Learning Model

Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
AlphaGalileo

Bridging Machine Learning and COSMO-SAC for Accurate Prediction of Infinite Dilute Activity Coefficients of Binary Mixtures

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
Morning Overview on MSN

AI model flags record dipole moments in unexpected diatomic molecules

A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...