🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

What really blew my mind away is when I saw the model make prediction, just print out the heat map of the JNN changes, look at the actual raw data, and line up the linear baseline prediction, the ground truth, and the XL prediction all together.

It goes beyond the title with direct discussion of cell, data, cells, including: It's visually very clear to see that XL prediction is much more similar to ground truth than the linear baseline.

1. 01What really blew my mind away is when I saw the model make prediction, just print out the heat map of the JNN changes, look at the actual raw data, and line up the linear baseline
2. 02Something that jumped out to us biologists right away is that some of the perturbations are context universal
3. 03This is Brandon Anderson, who builds RNA therapeutics at Atomic AI