Webinar: Breaking the interpretation bottleneck
Examining the utility of an automated genomic interpretation algorithm in a clinical genetic lab
The utilization of exome and genome sequencing in clinical practice has become widespread in recent years. However, the genotype-phenotype interpretation remains challenging and time-consuming. By automating the variant prioritization and classification processes, machine learning technologies can unblock the genomic interpretation bottleneck, and improve the power and efficiency of the analysis.
Dr. Meng will present the results of a joint Baylor Genetics-Emedgene study demonstrating the utility of machine learning for interpretation in a 180-case cohort.
Dr. Tzur will follow with a presentation of the machine learning capabilities in action, displaying their value in a case review.