tv.qiagenbioinformatics.com marketingbiox@qiagen.com https://tv.qiagenbioinformatics.com Watch tutorials, interviews and much more on our web based TV channel! en-us Visualplatform http://blogs.law.harvard.edu/tech/rss tv.qiagenbioinformatics.com CLC bio TV Watch tutorials, interviews and much more on our web based TV channel! clc bio tv, bioinformatics, genomics, research episodic no https://tv.qiagenbioinformatics.com/files/rv0.0/sitelogo.gif https://tv.qiagenbioinformatics.com http://tv.qiagenbioinformatics.com/photo/127139281/disrupting-healthcare-using-deep-1 <p><p>Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to understand health while people are still well and detect disease at its earliest, pre-symptomatic stages. By combining genomics, immunomics, transcriptomics, proteomics, metabolomics, microbiomics, wearable devices and microsampling, scientists can track health and biological change in unprecedented detail.</p><p>In this webinar, Michael Snyder will present findings from a long-term study of 200 individuals followed for up to 15 years, revealing major insights into cardiovascular disease, cancer, metabolic health, and infectious disease. Key discoveries include distinct, measurable aging patterns, how wearable devices can be used for early detection of infectious diseases, such as COVID-19, and how microsampling can be used for monitoring and improving lifestyle.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/127139281/disrupting-healthcare-using-deep-1"><img src="http://tv.qiagenbioinformatics.com/64968558/127139281/7825337a256918d17ec972d815f98a29/standard/download-12-thumbnail.jpg" width="600" height="338"/></a></p> http://tv.qiagenbioinformatics.com/photo/127139281 Wed, 13 May 2026 11:21:28 GMT Disrupting Healthcare Using Deep Data, Remote Monitoring and AI Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to understand health while people are still well and detect disease at its earliest, pre-symptomatic stages. By combining genomics, immunomics, transcriptomics, proteomics, metabolomics, microbiomics, wearable devices and microsampling, scientists can track health and biological change in unprecedented detail.In this webinar, Michael Snyder will present findings from a long-term study of 200 individuals followed for up to 15 years, revealing major insights into cardiovascular disease, cancer, metabolic health, and infectious disease. Key discoveries include distinct, measurable aging patterns, how wearable devices can be used for early detection of infectious diseases, such as COVID-19, and how microsampling can be used for monitoring and improving lifestyle. Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to... tv.qiagenbioinformatics.com 57:10 <p><p>Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to understand health while people are still well and detect disease at its earliest, pre-symptomatic stages. By combining genomics, immunomics, transcriptomics, proteomics, metabolomics, microbiomics, wearable devices and microsampling, scientists can track health and biological change in unprecedented detail.</p><p>In this webinar, Michael Snyder will present findings from a long-term study of 200 individuals followed for up to 15 years, revealing major insights into cardiovascular disease, cancer, metabolic health, and infectious disease. Key discoveries include distinct, measurable aging patterns, how wearable devices can be used for early detection of infectious diseases, such as COVID-19, and how microsampling can be used for monitoring and improving lifestyle.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/127139281/disrupting-healthcare-using-deep-1"><img src="http://tv.qiagenbioinformatics.com/64968558/127139281/7825337a256918d17ec972d815f98a29/standard/download-12-thumbnail.jpg" width="600" height="338"/></a></p> http://tv.qiagenbioinformatics.com/photo/115454021/shared-pathways-many-origins-how <p><p>Over two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar, learn how Dr. Dan Geschwind and his team at UCLA combine bioinformatics and experimental approaches to show that both common and rare genetic variations converge during early fetal cortical development. Using the largest hiPSC patient cohort and cortical organoid models, they identified shared transcriptional changes and created a resource of isogenic lines with over 100 ASD-associated mutations. Their integrative, network-based approach aims to clarify how genetic risk influences neurodevelopment through transcriptional regulation.</p><p>&nbsp;</p><p>Speaker: Dan Geschwind, MD, PhD</p><p>Gordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human Genetics</p><p>Senior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)</p><p>University of California Los Angeles (UCLA)</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/115454021/shared-pathways-many-origins-how"><img src="http://tv.qiagenbioinformatics.com/64968571/115454021/1af6168367c64283a8f2f6260ec4dbfa/standard/download-11-thumbnail.jpg" width="75" height=""/></a></p> http://tv.qiagenbioinformatics.com/photo/115454021 Wed, 20 Aug 2025 15:57:37 GMT Shared Pathways, Many Origins: How Diverse Genetic Risk Targets Share... Over two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar, learn how Dr. Dan Geschwind and his team at UCLA combine bioinformatics and experimental approaches to show that both common and rare genetic variations converge during early fetal cortical development. Using the largest hiPSC patient cohort and cortical organoid models, they identified shared transcriptional changes and created a resource of isogenic lines with over 100 ASD-associated mutations. Their integrative, network-based approach aims to clarify how genetic risk influences neurodevelopment through transcriptional regulation.Speaker: Dan Geschwind, MD, PhDGordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human GeneticsSenior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)University of California Los Angeles (UCLA) Over two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar,... tv.qiagenbioinformatics.com 58:25 <p><p>Over two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar, learn how Dr. Dan Geschwind and his team at UCLA combine bioinformatics and experimental approaches to show that both common and rare genetic variations converge during early fetal cortical development. Using the largest hiPSC patient cohort and cortical organoid models, they identified shared transcriptional changes and created a resource of isogenic lines with over 100 ASD-associated mutations. Their integrative, network-based approach aims to clarify how genetic risk influences neurodevelopment through transcriptional regulation.</p><p>&nbsp;</p><p>Speaker: Dan Geschwind, MD, PhD</p><p>Gordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human Genetics</p><p>Senior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)</p><p>University of California Los Angeles (UCLA)</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/115454021/shared-pathways-many-origins-how"><img src="http://tv.qiagenbioinformatics.com/64968571/115454021/1af6168367c64283a8f2f6260ec4dbfa/standard/download-11-thumbnail.jpg" width="75" height=""/></a></p>