Xaira Therapeutics' X-Cell model for drug discovery relies on a large dataset, X-Atlas, which contains information-rich data on gene expression in human cells, enabling the model to predict changes to gene expression and understand the relationships between cell types and states. This approach contrasts with traditional models that rely on smaller, less informative datasets. The X-Cell model has achieved significant improvements over previous models, demonstrating the importance of data quality in AI-driven drug development. AI summary
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This episode features Bo Wang and Si Chu from Xaira Therapeutics, discussing their AI drug discovery platform, X-Cell, which uses high-throughput experimentation to generate causal data for predicting cellular responses to genetic perturbat…
AI drug discoveryCausal modelsGene expression predictionHigh-throughput experimentationVirtual cell modelsProtein designPatient stratificationSingle-cell genomicsCRISPR perturbationDiffusion modelsBiological prior knowledgeModel generalizationOpen scienceSpatial transcriptomicsTemporal cell dynamics