Strand AI
Strand AI generates missing multimodal patient data—including gene expression, proteomics, and spatial transcriptomics—from routinely collected samples for life sciences teams running clinical trials and biomarker discovery.
About Strand AI
Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.
Products
An in silico spatial proteomics model that predicts virtual multiplex immunofluorescence across 180+ protein biomarkers from standard H&E images using a 1 billion parameter gene...
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