Genomic and multi-omic studies generate massive amounts of data that require computation. We are developing and perfecting the tools used to analyze this data to improve our capacity to understand what it's telling us about human health and disease.
We are developing generative artificial intelligence models that use multi-omics and linked real-world patient datasets to generate drugs that are predicted to help treat specific diseases. Researchers can use these predictions to make and test these drugs.
Our genomes – the sum total of our DNA – interact with other systems in our body including our proteomes (sum total of our proteins and "human interactome," or how they act), metabolomes and more. We believe the key to understanding human health and disease lies in how these systems intersect with, interact with and influence each other.