October 28: Software and AI: How Responsible Use Enables Analysis and Variant Curation at Scale

As next-generation sequencing (NGS) becomes the standard of care, a laboratory's competitive advantage is no longer defined by the test itself, but by how effectively it leverages data, automation, and innovation. Laboratories that embrace AI, invest in scalable data infrastructure, and integrate intelligent workflows are better positioned to increase efficiency, expand testing capacity, and contribute to learning health systems.

Join us to explore how AI can be applied responsibly throughout the case review process. Discover which tasks can be automated, where human expertise delivers the greatest value, and how to achieve the right balance between efficiency and scientific oversight.

Presented by:

NSGC Genomic Technologies SIG
1. Talia Silver, MHSc

Learning Objectives:

1. Explain the technical layer of genomics lab operations.
2. Explain different forms of AI, where and how they can be used, and what guardrails can enable safe adoption in a lab setting.
3. Explain how automation, and utilization of software stand to improve lab operations.
4. Explain how structured data storage enables reanalysis and research and what it can enable for healthcare systems.