Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Machine learning models, particularly LightGBM, effectively predict hyperlipidemia in PLWH on HAART for six months, with high accuracy and area under curve values. The study's limitations include ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...