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A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...
Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors ...
In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...
As innovators they will encounter learning experiences and even failures as they use big data, AI and machine learning to drive success. Those are experiences we can all learn from.
has robust natural history data, and if there is strong evidence of treatment efficacy. Using these insights, the team developed a machine learning model incorporating 13 predictors, achieving ...
Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...
2d
Tech Xplore on MSNTool automatically separates training and test data to improve AI evaluationA new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at ...
Microsoft has resolved an issue with a machine learning model that mistakenly flagged emails from Gmail accounts as spam in Exchange Online. Tracked as EX1064599 in the Microsoft 365 admin ...
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