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NEW YORK (GenomeWeb) – Researchers at Stanford University School of Medicine have developed a machine-learning framework that integrates genomic and electronic health record data to predict an individual's risk of developing abdominal aortic aneurysm (AAA) and to improve scientists' understanding of the biological architecture of the disease.

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Mar
28
Sponsored by
Qiagen

The Human Gene Mutation Database (HGMD) is a manually curated, comprehensive collection of disease-causing, germline mutations. Since 1996, a team of experts has manually catalogued over a quarter of a million mutations for the database.  

Apr
09
Sponsored by
Sophia Genetics

This webinar will present the utility of a personalized in silico analytical approach for the routine clinical diagnosis of channelopathies and cardiomyopathies.