AI is rapidly advancing the field of computational pathology, enabling new ways to extract quantitative and biologically meaningful information from digitized tissue images.

In this seminar, Dr. Andrew Song, assistant professor in the Department of Translational Molecular Pathology at The University of Texas MD Anderson Cancer Center and adjunct professor in the Department of Computer Science at Rice University will highlight the growing role of pathology foundation models that support scalable representation learning and more flexible analytical workflows.

While the majority focus is on histopathology, this discussion will explore how models across multiple modalities, such as spatial transcriptomics and proteomics are equally important. Together, these innovations are reshaping computational pathology, driving new insights into disease biology, and accelerating progress toward precision medicine.