Curation of the Entire Human Genome Requires the Best of Both Human and Artificial Intelligence
Earlier this month, I wrote an opinion article for Technology Networks on how a combination of both human and artificial intelligence technologies have the potential to expedite curation of the entire human genome – and how Genomenon is uniquely suited to address this important challenge.
Accelerating Rare Disease Diagnosis with Genomic Data
Genomenon CEO, Mike Klein, shares how Mastermind’s new Disease-Specific Curated Content is helping clinicians discover new treatment options for rare diseases.
Rapid Variant Interpretation with the Mastermind Relevancy Score
The key to rapid and accurate literature curation for clinical interpretation and therapeutic discovery is standardizing and optimizing the review process. The Mastermind Genomic Search Engine meets this need with a collection of sophisticated algorithms that prioritize search results by relevance. This proprietary process is called the Mastermind Relevancy Score.
Top Three Benefits of Locus-Specific Patient Databases for Rare Disease
In a recent webinar, Genomenon’s chief scientific officer Dr. Mark Kiel was joined by Dr. Gus Khursigara, VP of Medical Affairs and Clinical Strategy at Inozyme Pharma. This blog explores three key benefits of locus-specific patient databases (or Patient Landscapes), and how they are helping Inozyme better understand and target rare diseases.
Founder Perspective: 7 Lessons from a Genomic Startup
The Keck Graduate Institute Industry Speaker Series helps students explore career options in the life sciences industry by engaging the expertise of professionals from their expansive network. In this blog, Genomenon founder and chief science officer Dr. Mark Kiel summarizes the important lessons he has learned throughout his inspiring transition from academia to entrepreneurship.
The Importance of Automated Semantic Search for Copy Number Variants (CNVs)
Continuing our discussion on CNV search in Mastermind, we’ll discuss the practical advantages of automated semantic searches, and explore how Mastermind’s powerful algorithm resolves sensitivity and specificity issues associated with multiple CNV nomenclatures.