Clinical labs running WES/WGS workflows today can spend 24 hours or longer reviewing and evaluating potential candidate variants. With traditional filtering techniques, these reviews can consist of hundreds of candidates.
Fabric GEM employs advanced AI, and leverages genomic, phenotypic and clinical data to identify a short list of causal candidates without losing sensitivity. While most interpretation platforms require a review of 20 to 50 candidates to find the causal variant, Fabric GEM technology prioritizes variants, reducing the typical number of candidates for review to fewer than five. This efficiency significantly reduces clinical review so your lab has the bandwidth to solve more cases.
In recent studies in the pediatric setting, Fabric GEM ranked the causal gene in the top 1 or 2 in 87% of cases, the top 5 in 98% of cases and the top 10 in 100% of cases*. When other AI and interpretation solutions report ranking in the top 20 to 50 candidates, Fabric AI, especially now with Fabric GEM, consistently reduces clinical review.