New AI System Enhances Embryonic Cell Tracking and Anomaly Detection
Researchers at Memorial Sloan Kettering Cancer Center have developed 'Twin Attention,' an AI tool that accurately tracks individual cells in developing embryos, achieving 93-97% accuracy in C. elegans. This innovation significantly reduces the time needed to screen for developmental abnormalities, enabling large-scale studies previously impossible and advancing understanding of early embryonic processes.
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