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Webinar

Building a Virtual Cell Atlas to Accelerate Drug Discovery

Using artificial intelligence and single-cell transcriptomics, scientists mapped drug response patterns across 100 million cancer cells.

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The drug discovery field is undergoing a rapid transformation, driven by advances in artificial intelligence (AI) and single-cell genomics. Traditional models often lack the resolution to uncover nuanced drug responses and resistance mechanisms. Generating gigascale atlases offers a path to building predictive models that can guide more effective treatments.

Watch this webinar to learn how researchers used 100 million single-cell transcriptomic profiles to train AI models for drug discovery.

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©iStock, MihailUlianikov

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