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 ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
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 ...
Validating drug production processes need not be a headache, according to AI researchers, who say machine learning could be a single answer to biopharma’s multivariate problem. The FDA defines process ...
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 ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
Randomized trial of web-based genetic education versus usual care in advanced cancer patients undergoing tumor genetic testing: Results from the ECOG-ACRIN NCI Community Oncology Research Program ...
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