Despite these advancements, modern histology faces several challenges. One major challenge is the interpretation of complex data generated by advanced imaging techniques and AI analyses. There is a need for standardized protocols and training to ensure that these technologies are applied correctly and consistently.
Another challenge is the integration of histological data with other omics data, such as genomics, proteomics, and metabolomics. This integration is crucial for a comprehensive understanding of biological systems, but it requires significant computational resources and expertise.
