A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...

Discover how a machine-learning drug toxicity prediction model enhances the predictive power of AI in drug trials, boosting ...

Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...

A new study has unveiled one of the most accurate corporate credit risk forecasting models to date. This study is a result of collaboration among quantitative finance experts from data and AI leader ...

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.

Discover SAP RPT-1, the relational foundation model that aims to make machine learning redundant with direct predictions on ...