Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

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

By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...

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

The AI model in news offers deeper insight into protein-to-protein talk, advancing innovation in understanding mutations, ...

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

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 ...