Enjoy the following content from our partner, Fabric Genommics.
Next-Generation Sequencing (NGS) testing is experiencing tremendous growth driven at a high level by the promise of precision medicine and the life-changing power of applications in preventive genetic screening, somatic testing, and rare disease diagnosis. In all of these use cases, we see important clinical advances. Preventive genetic screening for risk factors such as BRCA mutations allows people to take preventative measures that save lives every day. Somatic mutation analysis allows for highly targeted therapies, and rare disease diagnosis is improving outcomes for babies in the NICU and providing hope for the 400 million people worldwide suffering from a rare disease.
Most modern labs are now considering expansion into NGS testing to support these clinical requirements. To be successful, they need a program set up that considers clinical, operational, and business points of view. NGS is enjoying increasingly available and attractive reimbursement; however, efficient and effective interpretation and analytics are needed to enable scaling.
Without advanced algorithms, utilizing genomic data is costly and time-consuming. Each of us has millions of mutations, or variants, in our genome, the vast majority of which are benign. Traditional approaches to genomic analysis have utilized manual filtering, time-consuming analysis, and annotation techniques, which do not scale. Now, artificial intelligence (AI) can be combined with expert review to enable scalable testing of many more patients.
Fabric Genomics has been the leader in applying algorithmic techniques to this problem of large-scale genomic data analysis since our inception. Fabric offers a full suite of AI tools that enable fast and accurate interpretation of results for everything from targeted panels to whole exomes and genomes.
To learn more, we invite you to attend a webinar on November 12, 10:00 AM PT/1 PM ET, during which we will share the best practices to implement and scale NGS panel testing in your lab.