Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning
Mikhail Petrov 1, Nadezhda Makarova 1, Amir Monemian 2, Jean Pham 2, Małgorzata Lekka 3, Igor Sokolov 1 4 Affiliations Expand Abstract The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. However, these promising findings were limited by […]
