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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4433?offset=110</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/33917/webinar-on-leukocyte-immunobiology-helps-us-predict-post-operative-risk-using-pre-operative-markers-on-9-aug-8-am-pst</guid>
	<pubDate>Tue, 18 Jul 2017 08:21:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/33917/webinar-on-leukocyte-immunobiology-helps-us-predict-post-operative-risk-using-pre-operative-markers-on-9-aug-8-am-pst</link>
	<title><![CDATA[Webinar on Leukocyte immunobiology helps us predict post-operative risk using pre-operative markers on 9 Aug, 8 am PST]]></title>
	<description><![CDATA[<h2><strong><a href="http://www.strand-ngs.com/webinar_registration#registration-form">Free Live Webinar on Leukocyte immunobiology helps us predict post-operative risk using pre-operative markers on 9 Aug, 8 am PST</a></strong></h2><h2 id="Next-gen-seq"><em><a href="http://www.strand-ngs.com/webinar_registration">Speaker:</a></em></h2><p><strong>Mario Deng</strong><span>&nbsp;MD FACC FESC</span><br /><span>Professor of Medicine</span><br /><span>Advanced Heart Failure/Mechanical</span><br /><span>Support/Heart Transplant</span><br /><span>David Geffen School of&nbsp;</span><br /><span>Medicine at UCLA</span><br /><span>Ronald Reagan UCLA Medical Center</span></p><h2><em><a href="http://www.strand-ngs.com/webinar_registration">Abstract:</a></em></h2><div id="more-webinar"><p>Strand NGS supports a comprehensive and flexible RNA-Seq data analysis workflow consisting of Alignment, Quality Assessment, Filters, and a range of analysis and visualization options that help in studying a variety of samples and answering long-standing biological questions.</p></div><div><p>In this webinar, Dr. Deng will discuss the analysis of transcriptome, flow cytometry and cytokine data from pre-operative blood samples of advanced heart failure patients undergoing Mechanical Circulatory Support (MCS) surgery. He will discuss in detail the identification of prominent clinical variables, a set of transcriptome biomarkers, and their role in the context of systems biology. Finally, the application of Class Prediction algorithms in Strand NGS for identification of high-risk patients will be illustrated.</p><p>This immunobiology based study highlights the potential of machine learning techniques in clinical risk prediction and patient management, and from a clinician&rsquo; s perspective, the utility of biomarker discovery studies in helping patients make more informed decisions as a step towards personalized precision medicine.</p><p><em><a href="http://www.strand-ngs.com/webinar_registration#registration-form">Register here</a></em></p></div>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/35991/webinar-on-diagnosis-of-rare-diseases-using-ngs-based-multi-gene-testing-case-studies-by-draparna-ganapathy-on-18-apr-2018</guid>
	<pubDate>Mon, 19 Mar 2018 04:40:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/35991/webinar-on-diagnosis-of-rare-diseases-using-ngs-based-multi-gene-testing-case-studies-by-draparna-ganapathy-on-18-apr-2018</link>
	<title><![CDATA[Webinar on Diagnosis of Rare Diseases using NGS Based Multi-gene Testing- Case studies by Dr.Aparna Ganapathy on 18 Apr 2018]]></title>
	<description><![CDATA[<p>A disease is considered to be &lsquo;rare&rsquo; when it affects one in about 2000 individuals in the population. This, individually are although rare, collectively, the incidence could be very high causing a significant socio-economic burden. Arriving at a confirmatory diagnosis is a major challenge in these inherited disorders, which can significantly impact treatment and disease management. Conventional genetic testing for rare diseases focuses mostly on sequencing of fewer genes, followed by a deletion/duplica-tion analysis by multiplex ligation-dependent probe amplifi&not;cation (MLPA). This sequential testing strategy is time consuming and very expensive. Multi-gene panel based on NGS (next-generation sequencing) can allow us to detect all types of mutations, including large deletions/duplications, thus allowing us to perform a comprehensive genetic testing in a cost-effective manner. Thus, with the advent of NGS technology, the possibility of offering a &lsquo;single platform solution&rsquo; for all types of genetic defects can become a reality.</p><p>The webinar will highlight some of the interesting case studies wherein multi-gene testing with NGS was helpful in arriving at a confirmatory as well as differential diagnosis, even for complex clinical conditions. With robust bioinformatic analysis, we were able to detect few complex variations in few cases which a conventional test had missed. Some of those cases will also be discussed.</p><p><a href="http://www.strand-ngs.com/webinar_registration">Session 1: 9 am CET, 18 Apr 2018<br /></a><a href="http://www.strand-ngs.com/webinar_registration">Session 2: 8 am CET, 18 Apr 2018</a>&nbsp;<br />To attend, register here:&nbsp;<a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p><p><strong>About Speaker:</strong>&nbsp;Dr. Aparna Ganapathy is Senior scientist- Clinical Diagnostics at Strand Life Sciences. She has over 8 years of experience in human genetics and molecular biology. She received her Ph.D. in Human Molecular Genetics from Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore. At Strand Life Sciences, she is involved in the interpretation and clinical reporting of the genetic disorders. The focus of these genetic tests is to provide accurate and rapid clinical diagnosis for various inherited disorders.</p>]]></description>
	<dc:creator>Strand</dc:creator>
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