A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates ...
A new platform developed by researchers at the University of Texas MD Anderson Cancer Center quickly finds and isolates rare, ...
Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.
Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Department of Biomedical Engineering, The City College of New York, New York, New York 10031, United States of America PhD Program in Chemistry, The Graduate Center of The City University of New York, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results