In this Nature Research hosted webinar, speakers will discuss how proteomic models can be implemented to design more precise treatment strategies for diabetic patients, moving the field ever closer to realizing the goal of providing personalized care.
Translational Dx: Virtual Summit Featuring expert presentations on the latest advances in translational oncology tools. Watch On-Demand Enjoy live presentations, Q&A sessions, and networking to
Protein-genotype associations (pQTLs) are an important tool for identifying proteins that link genetic variants with disease states. In this webinar, Dr. Benjamin Sun will discuss a recent Nature paper in which he and his colleagues at the University of Cambridge used the SomaScan® Assay to develop a pQTL atlas for the human plasma proteome.
Dr. Kevin Coombs has authored six different publications (2 pending) describing the use of the SomaScan Assay to investigate human cellular protein alterations in tissue culture in response to infection by Zika virus and various strains of influenza. In this webinar, Dr. Coombs will summarize the major findings produced from these studies and comment on how the SomaScan Assay could be used to further study infectious disease, including the current COVID-19 pandemic, in the immediate future.
It was recently demonstrated that the SomaScan Assay, a multiplex proteomics platform, can noninvasively and simultaneously predict all the key elements of the liver biopsy: liver fat, inflammation, hepatocyte ballooning and fibrosis based only on serum protein biomarkers.
In this webinar, speakers will discuss key findings and motivations for the study “Plasma protein patterns as comprehensive indicators of health,” which was recently published in Nature Medicine.
In this Webinar, Karsten Suhre, Director of the Bioinformatics Core at Weill Cornell Medicine-Qatar, will discuss how proteomics can complement GWAS and EWAS
In this webinar, Lehallier and Barzilai discuss the findings of their Nature Medicine paper “Undulating changes in human plasma proteome profiles across the lifespan.”
