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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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Aug
19
Sponsored by
UgenTec

This webinar will present a case study from in vitro diagnostics developer SpeeDx on its experience building a complete sample-to-result workflow — encompassing instrumentation and data analysis software — for its qPCR-based ResistancePlus MG Mycoplasma genitalium assay.