EZ Eye's algorithmic technology reduces manual image grading by 97% while maintaining 96% accuracy for automated quality ...
News-Medical.Net on MSN
The future of automation: Machine learning–driven hepatocyte and organoid counting
DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
Traditionally, nutrition professionals have relied on self-reported food logs, interviews, and recall surveys, methods prone ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
Medical Device Network on MSN
Bespoke datasets trump ‘lazy’ approach to AI-medtech integration
Investing in bespoke processes can sidestep the inefficiencies of ‘lazy artificial intelligence (AI)’ in medical device ...
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