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.













