BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Bioinformatics Software | QIAGEN Digital Insights - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231003T130000
DTEND;TZID=Europe/Paris:20231003T140000
DTSTAMP:20260411T061702
CREATED:20230912T162604Z
LAST-MODIFIED:20241024T182937Z
UID:10000681-1696338000-1696341600@staging.digitalinsights.supremeclients.com
SUMMARY:Supercharge your AI in drug discovery with high-quality biomedical data
DESCRIPTION:If you’re working in pharma or biotech\, you likely rely on artificial intelligence (AI) to help you identify new drug targets or plausible biomarkers for disease within large data sets. Yet AI alone isn't enough. A large proportion of Biomedical data have errors and are unstructured. For AI models to provide reliable insights\, the underlying data must be of ‘high quality’\, meaning it’s accurate\, comprehensive\, up-to-date and standardized. \nJesper Ryge (Idorsia Pharmaceuticals)\, Alex Jarasch (Neo4j) and Venkatesh Moktali (QIAGEN Digital Insights) come together to showcase the practical applications of high-quality biomedical relationships data from the QIAGEN Biomedical Knowledge Base (BKB) to accelerate\, improve and transform research in drug discovery and pharmaceutical development. By applying AI to a gene-disease knowledge graph\, they identify promising drug targets and key mechanisms underlying diseases. A brief introduction to Neo4j shows how graph-centric analysis and visualizations facilitate the effective exploration of large knowledge graphs like BKB. This integration of high-quality curated data\, AI-driven analysis and advanced visualization provides valuable insights and accelerates the progress of precision medicine. \nIn this webinar\, you’ll learn how you can: \n\nBuild disease interactomes using protein-protein interactions\nIdentify high-quality drug targets using inferred causal interactions\nChoose targets with the least likelihood of adverse outcomes by leveraging the depth of the data in BKB\nFormulate plausible hypotheses using state-of-the-art graph visualization\n\nDon't miss this chance to learn how to supercharge your AI toolbox to transform your drug discovery.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/supercharge-your-ai-in-drug-discovery-with-high-quality-biomedical-data/
LOCATION:Virtual - EMEA - CET
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1212_7_QDI_QDI_BKB_Original_59173.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231003T130000
DTEND;TZID=America/New_York:20231003T140000
DTSTAMP:20260411T061702
CREATED:20230912T162824Z
LAST-MODIFIED:20241024T182937Z
UID:10000682-1696338000-1696341600@staging.digitalinsights.supremeclients.com
SUMMARY:Supercharge your AI in drug discovery with high-quality biomedical data
DESCRIPTION:If you’re working in pharma or biotech\, you likely rely on artificial intelligence (AI) to help you identify new drug targets or plausible biomarkers for disease within large data sets. Yet AI alone isn't enough. A large proportion of Biomedical data have errors and are unstructured. For AI models to provide reliable insights\, the underlying data must be of ‘high quality’\, meaning it’s accurate\, comprehensive\, up-to-date and standardized. \nJesper Ryge (Idorsia Pharmaceuticals)\, Alex Jarasch (Neo4j) and Venkatesh Moktali (QIAGEN Digital Insights) come together to showcase the practical applications of high-quality biomedical relationships data from the QIAGEN Biomedical Knowledge Base (BKB) to accelerate\, improve and transform research in drug discovery and pharmaceutical development. By applying AI to a gene-disease knowledge graph\, they identify promising drug targets and key mechanisms underlying diseases. A brief introduction to Neo4j shows how graph-centric analysis and visualizations facilitate the effective exploration of large knowledge graphs like BKB. This integration of high-quality curated data\, AI-driven analysis and advanced visualization provides valuable insights and accelerates the progress of precision medicine. \nIn this webinar\, you’ll learn how you can: \n\nBuild disease interactomes using protein-protein interactions\nIdentify high-quality drug targets using inferred causal interactions\nChoose targets with the least likelihood of adverse outcomes by leveraging the depth of the data in BKB\nFormulate plausible hypotheses using state-of-the-art graph visualization\n\nDon't miss this chance to learn how to supercharge your AI toolbox to transform your drug discovery.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/supercharge-your-ai-in-drug-discovery-with-high-quality-biomedical-data-2/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1212_7_QDI_QDI_BKB_Original_59173.jpg
END:VEVENT
END:VCALENDAR