Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Surgeons and statisticians from Barcelona argue that neutral machine learning results in abdominal wall surgery reveal when ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

Sofia University, a WASC Senior College and University Commission (WSCUC)-accredited institution, is expanding its graduate computer science offerings with the launch of a new Doctor of Machine ...