A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant ( lnk p ) was ...

AI takes predictive analytics—a broad discipline that includes predictive modeling, data prep, analysis workflows, ...

A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Thought LeaderDr. James McDonaghPrincipal Applied AI ScientistApconiX You have worked across the full drug development pipeline. How has that experience shaped your view of where AI can have the ...

Learning AI as a technical discipline usually involves more than understanding how a model works. A useful skill set now ...

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...