Deep Genomics is building an integrated computational system, the DG Engine, which can learn, predict and interpret how genetic variation alters crucial cellular processes in the context of disease.
We are trying to change the course of genomic medicine.
Ten years ago, we set out to build a computer system that mimics how cells read DNA and generate life. This led to breakthroughs in genomic medicine that we didn’t even know were possible when we started. Today, we're developing machine learning technologies to transform precision medicine, genetic testing, diagnostics and the development of therapies.
The technology developed at Deep Genomics is based on machine learning, a powerful and practical form of artificial intelligence. We develop new machine learning methods that can find patterns in massive datasets and infer computer models of how cells read the genome and generate biomolecules. In this way, our unique technology provides a causal interpretation for genetic variation, not just the correlative information given by industry standard techniques. We can even generate networks of known and unknown variants based on how they affect the same cellular processes, something that was not previously possible. Any variant. Any disease.