A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

Researchers at DZNE and the Department of Vascular Neurology at the University Hospital Bonn (UKB) aim to develop a computer ...

History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...

Researchers combined patient-specific samples with machine learning technology to develop a bedside system that can predict ...

I stand by my prediction from Tuesday: A few colleagues said I was wrong, and that the merits issue was not adequately briefed. I'm not so concerned. The Court can always restore the case to the ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Cardioneurology, the intersection of cardiac and neurological sciences, has become increasingly important due to the complex ...

Bittensor’s backers say the network stands out for its subnets, which enable specialized, incentive-based marketplaces built around a specific AI or machine learning use case. DNA Fund is ...

In this work, we developed a machine-leaning-based technique to distinguish between ... First, unnecessary miRNA features in the miRNA expression profiles were removed using the Boruta feature ...