The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing ...

Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in ...

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Image courtesy by QUE.com The Convergence of Machine Learning and Material Science The global transition toward sustainable ...

The way security works in most public institutions follows a familiar order. Something happens. A tool notices. An alert is raised. People respond. Measured aga ...

A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients ...

A recent study published in the Journal of Hepatology demonstrated that a machine learning–based pan-elastography model can ...

Overall survival is heterogeneous after nephrectomy for non-metastatic RCC, but new models may aid prognostication. A new model, based on factors identified via machine learning, predicts overall ...

Two academic studies examine what it takes to make unattended systems more useful to passengers and more reliable for operators.

SAS, the leader in data and AI, today announced SAS 360 Marketing AI, a new solution to help marketers build, deploy and scale machine learning models without relying on overstretched data science ...

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...