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.