Generative AI for Modeling Single-cell State and Response

In this upcoming webinar, hear Dr. Fabian Theis discuss how artificial intelligence (AI) is enabling researchers to model single-cell variation, potentially creating a single-cell foundation model.

He will:

• review deep learning approaches for identifying gene expression.
• outline applications for cell atlas building.
• address concerns (such as variations in drug responses and multiscale readouts).
• explain organism-wide cell type predictors.
• review the future of foundation models and their potential impact on spatial omics for modeling the cellular niche.

Thanks to advances in single-cell genomics, researchers can construct large-scale organ atlases, giving you more accurate ways to study genetic mutations and alterations related to drug responses and disease. These models create a unique opportunity for using AI to better understand cellular responses, using both multiomic and spatial data.

To view upcoming speakers or recordings of past presentations, visit the CBIIT Data Science Seminar Series webpage.

The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.