In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
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UVA Data Science researcher leads $4.7M project for AI-powered diabetes management
University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
In a recent review posted to the medRxiv* preprint server, scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment ...
Machine learning systems, a segment of the red-hot AI technology arena, make business-outcome decisions and predictions based on algorithms and statistical models that analyze and draw inferences from ...
Matt Whittle has experience writing and editing accessible education-related content in health, technology, nursing and business subjects. His work has been featured on Sleep.org, Psychology.org and ...
Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...
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