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PRODID:-//Bioinformatics Software | QIAGEN Digital Insights - ECPv6.15.20//NONSGML v1.0//EN
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X-WR-CALNAME:Bioinformatics Software | QIAGEN Digital Insights
X-ORIGINAL-URL:https://staging.digitalinsights.supremeclients.com
X-WR-CALDESC:Events for Bioinformatics Software | QIAGEN Digital Insights
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TZOFFSETFROM:+0000
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230405T110000
DTEND;TZID=UTC:20230405T120000
DTSTAMP:20260503T200827
CREATED:20230329T120420Z
LAST-MODIFIED:20241024T182849Z
UID:10000623-1680692400-1680696000@staging.digitalinsights.supremeclients.com
SUMMARY:Can you trust AI for germline variant curation? A Stanford University case study
DESCRIPTION:In this webinar\, we examine a new study by Stanford University that analyzes the accuracy\, consistency\, and comprehensiveness of automated and manual germline variant curation. The study compares the quality of data from Stanford’s Automatic VAriant evidence DAtabase (AVADA) to the Human Gene Mutation Database (HGMD)\, an expert-curated resource for human inherited disease mutations. \nBy attending this webinar\, you will: \n\nAnalyze a series of use-cases comparing the performance of AI-driven variant curation to manual approaches\nReceive a virtual demonstration of how HGMD presents mutation data\, including how the database provides genomic coordinates\, Human Genome Variation Society (HGVS) nomenclatures for variants\, citations from key publications\, and where a variant is described in a paper or supplemental text\nLearn how HGMD simplifies literature review and supports CNV interpretation\nReceive a complimentary 5-day trial of HGMD Professional
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/can-you-trust-ai-for-germline-variant-curation-a-stanford-university-case-study/
CATEGORIES:Clinical,Webinar
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