Multimodal foundation models to predict uncollected patient biology
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.
No comments yet. Be the first!
Real conversations about Strand AI on X
Post on X
