Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Learning from experience: RayStation 8B’s automated planning technology comprises a custom AI and machine-learning system that harvests information from a database of proven high-quality radiation ...

At a virtual meeting of the U.S. Food and Drug Administration's Center for Devices and Radiological Health and Patient Engagement Advisory Committee on Thursday, regulators offered updates and new ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

One of my more aspirational career goals has been to increase the efficiency of validation testing without lowering the quality. Testing of automated systems is essential to ensure quality in both the ...

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models. Swami ...