Generating a 100M Cell Atlas for AI Powered Drug Discovery

Tahoe’s mission is to build AI models that predict how diseased cells interact with potential drug molecules to find targets today’s models can’t detect. These AI models require massive amounts of observational data and drug-perturbed single cell data.

Join Parse Biosciences for a webinar on May 14 as Dr. Yu, Co-founder and Chief Scientific Officer at Tahoe, discusses how he partnered with Parse Biosciences to build the Tahoe-100M, a dataset of over 100 million cells capturing over 56,000 experimental conditions, using the Evercode™ single cell RNA sequencing technology and Tahoe's Mosaic platform.

By attending, you will:

• Learn how single cell RNA sequencing is accelerating drug discovery through AI model creation
  
  
• See how generating a high-resolution, in vivo data at scale is possible
  
  
• Get a deep dive of the Tahoe-100M dataset, and how it's enabling the development of powerful virtual cell models