Next-generation sequencing (NGS) data is widely used to inform both clinical diagnostics and drug development. In either case, manual curation and interpretation of this data is hindered by an inability to identify information within scientific literature quickly, comprehensively, and reproducibly. This challenge is compounded by the complexity and heterogeneity of nomenclatures used to describe diseases, genes, and genetic variants.
In this webinar, we will stand at the intersection of Artificial Intelligence (AI) and Precision Medicine to discuss the developing role of AI-driven genomics in the research space, and how these advances are improving variant interpretation workflows. Additionally, we will discuss a recent study on the Mastermind Genomic Search Engine, and observe how a computationally intelligent approach to building a search engine for genetic evidence has quickly surpassed two decades of manual effort in building static genetic databases.
In this live expert discussion, you will learn about high-level industry challenges associated with genetic variant interpretation, the emerging role of AI and machine learning-assisted technology in genomics, and recent findings surrounding the implications of novel computational genomic intelligence platforms.
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