
Multimodal foundation models to predict uncollected patient biology
screenshot pendingStrand AI specializes in generating missing multimodal patient data essential for life sciences and drug discovery. Their primary product utilizes advanced algorithms to predict biological modalities such as gene expression, proteomics, and spatial transcriptomics from routinely collected patient samples. This capability is particularly valuable for life sciences teams involved in clinical trials and biomarker discovery, where having comprehensive patient data can significantly influence the success of the research and drug development processes.