Large-scale pathology foundation models show promise on a variety of cancer-related tasks
Imagine if pathologists had tools that could help predict therapeutic responses just by analyzing images of cancer tissue. This vision may someday become a reality through the revolutionary field of computational pathology. By leveraging AI and machine learning, researchers are now able to analyze digitized tissue samples with unprecedented accuracy and scale, potentially transforming how we understand and treat cancer.
When a patient is suspected of having cancer, a tissue specimen is sometimes removed, stained, affixed to a glass slide, and analyzed by a pathologist using a