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-10-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-10-thumbnail.jpg" width="600" height="338"/></a></p>