NOVEMBER 25 2022 | 3pm CET | 9am EST
Breaking down the limits of traditional variant interpretation, enGenome’s award winning Suggested Diagnosis feature applies a layer of machine-learning driven by pathogenicity of variants, phenotypic similarity and inheritance fit to deliver a best-in-class and highly accurate hypothesis-driven variant prioritization.
Join us as Dr. Berardo Rinaldi - geneticist at Policlinico of Milan - discusses a validation study done with our feature on 44 Prenatal WES and how machine-learning technology was leveraged to prioritize causative variants according to clinical significance.