PulseAugur
EN
LIVE 00:31:40
(CA) Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)

Xaira Therapeutics unveils X-Cell model for AI-driven drug discovery

Xaira Therapeutics, led by Chief Discovery Officer Ci Chu and Chief AI Scientist Bo Wang, has developed the X-Cell model for drug discovery. This model is trained on X-Atlas, a novel dataset generated through CRISPR-based experiments that allow for parallel testing of gene expression changes. Unlike previous models that focused on RNA expression, X-Cell aims to predict the effects of altering specific genes, a crucial step for developing targeted drugs or gene therapies. The team shifted from autoregressive models to diffusion models for X-Cell and has demonstrated its ability to generalize to real-world cell experiments, outperforming existing linear baselines. AI

IMPACT This development could accelerate AI-driven drug discovery by enabling more precise prediction of gene expression changes.

RANK_REASON The cluster describes a new model and dataset for drug discovery, which falls under research.

Read on Latent Space (podcast video) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Xaira Therapeutics unveils X-Cell model for AI-driven drug discovery

COVERAGE [2]

  1. Latent Space (swyx) TIER_1 English(EN) · RJ Honicky ·

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

    Xaira Therapeutics is all in on data generation for model building! We talk with Bo Wang and Ci Chu about how and why.

  2. Latent Space (podcast video) TIER_1 (CA) · Latent Space ·

    Causal Models Need Causal Data - Xaira's X-Cell model (Bo Wang & Ci Chu)

    Can a model predict how a cell responds to a genetic perturbation it has never seen? Xaira Therapeutics' new virtual-cell model, X-Cell, is a 4.9-billion-parameter diffusion language model trained on X-Atlas/Pisces — the largest genome-wide CRISPRi Perturb-seq dataset ever built,…