Bioinformatics plays an increasingly important role in histology by providing tools for managing and analyzing large datasets. Techniques such as machine learning and artificial intelligence are being applied to automate pattern recognition and enhance the accuracy of histological diagnoses. Additionally, databases and software tools facilitate the integration of histological data with other biological data, enabling comprehensive multi-omics analyses.
