The future of computational histology looks promising, with continuous advancements in AI and machine learning technologies. Researchers are working towards developing more sophisticated algorithms that can handle complex tissue structures and provide real-time analysis. The integration of omics data (genomics, proteomics, etc.) with histological analysis is another exciting frontier, offering a holistic understanding of tissue pathology. Additionally, the adoption of computational methods in clinical practice is expected to grow, driven by the increasing demand for precision medicine.
