What are the Potential Benefits of Quantum Machine Learning in Histology?
Quantum machine learning (QML) combines quantum computing and machine learning to solve problems more efficiently. In histology, QML can be used to improve the accuracy of predictive models, enhance the classification of cell types, and even predict the progression of diseases based on histological data. The speed and efficiency of QML can make it an invaluable tool for personalized medicine and biomedical research.
