Generative AI for Modeling Single-Cell State and Response

About this Class

Dear Colleagues,
 
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 also create a unique opportunity to use artificial intelligence (AI) to better understand cellular responses, using both multiomic and spatial data.
 
In this upcoming webinar, hear Dr. Fabian Theis discuss how AI is enabling researchers to model single-cell variation, potentially creating a single-cell foundation model.
 
Dr. Theis 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, and
•    review the future of foundation models and their potential impact on spatial omics for modeling the cellular niche.

Individuals with disabilities who need sign language interpreters and/or reasonable accommodation to participate in this event should contact Laurie Morrissey (240-276-5154, laurie.morrissey@nih.gov), and/or the Federal TTY Relay number (1-800-877-8339). Requests should be made at least five days in advance of the event.