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Xaira Therapeutics relies on causal data for better drug models
Xaira Therapeutics focuses on generating high-quality causal data specifically designed for machine learning models in drug discovery. In the Latent Space podcast, Chief Discovery Officer Bo Wang and Chief AI Scientist Ci Chu discuss why traditional datasets are insufficient for building models that truly understand molecular biology.
WHY IT MATTERS
Having the right type of data – data that truly reflects cause-and-effect relationships in biology – is critical for AI models to predict which molecules will become effective drugs. This represents a paradigm shift from optimizing models on existing data to strategically generating the type of data models actually need.
SOURCES
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