How is AI Expanding the Possibilities of Computational Pathology?
To Know
Where:
Online
Organizer:
CBIIT
Presented By:
Andrew Song PhD (UT MD Anderson Cancer Center)
About this Class
How are AI foundation models expanding the possibilities of computational pathology?
During the upcoming Data Science Seminar series, Dr. Andrew Song from UT MD Anderson Cancer Center will tackle this question and explore how the answer could be applied across modalities.
He will:
- highlight the growing role of foundation models in computational pathology and how they can support scalable representation learning and flexible analytical workflows.
- explore how AI models can extend beyond histopathology to incorporate modalities such as spatial transcriptomics and proteomics.
- discuss how multimodal deep learning approaches can help researchers connect information across tissue images and molecular data to gain new insights into disease biology.
Register and learn how researchers are developing models that work across different data modalities and spatial scales.