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The ‘PodoSighter’ uses AI to identify a key indicator of early kidney disease
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The ‘PodoSighter’ uses AI to identify a key indicator of early kidney disease

by Ellen Goldbaum, University at Buffalo UB researchers have leveraged the power of digital pathology and computational modeling to develop a new approach to detecting and quantifying podocytes, shown above, a specialized type of cell in the kidney that undergoes damaging changes during early stage kidney disease. Credit: NIH, National Institute of Diabetes and Digestive...