Traditionally, histological analysis is manual and time-consuming. By leveraging machine learning and deep learning algorithms on Cloud TPUs, it is possible to automate the analysis. This automation can lead to faster diagnosis and improved accuracy in identifying pathological features. For instance, algorithms can be trained to recognize specific cellular patterns associated with diseases like cancer.
