Can you trust AI for germline variant curation? A Stanford University case study

In this webinar, we examine a new study by Stanford University that analyzes the accuracy, consistency, and comprehensiveness of automated and manual germline variant curation. The study compares the quality of data from Stanford’s Automatic VAriant evidence DAtabase (AVADA) to the Human Gene Mutation Database (HGMD), an expert-curated resource for human inherited disease mutations. By […]