Most diseases are caused by proteins not being produced and controlled correctly in our cells. Because many diseases, especially autoimmune, are not caused by the same protein imbalance in every patient, different disparities may cause the same disease. By understanding how these proteins are connected within a specific disease, we can identify subgroups of different patient populations, demonstrating that not all patients are the same and need to be treated differently.
Leverages our decade-in-the-making map of protein-protein interactions to understand autoimmune disease biology better than ever before.
Uses unprecedented amounts of data and artificial intelligence to continually improve its understanding of disease biology.
When combined with patients’ RNA samples and treatment outcomes from our diagnostics, the map continues to make stronger connections and “learn” more about each disease.
The power from our data allows us to build more accurate tests and identify better targets to improve patient treatment.