Data Summit 2025
Take your research further with expert insights from the SomaScan™ Data Summit.
Explore the latest platform updates, advanced data analysis tools, and innovative applications for SOMAmer™ reagents. From optimizing sample quality to customizing panels beyond 7K and 11K, this event is packed with knowledge to help you get the most from your data.
Don’t miss this opportunity to enhance your discoveries—start watching now!
Data Summit 2025
Chip Beckwith, Associate Director Life Science Sales
Lena Cuddleback, Technical Support Scientist, Global Scientific and Data Engagement
David Astling, Senior Manger Global Bioinformatics Support, Global Scientific and Data Engagement
Christopher Dimapasok, Bioinformatician, Global Scientific and Data Engagement
More webinars
WebinarProteomics in Clinical Trials: Lessons from Semaglutide Treatment in Individuals with Obesity
Advancements in proteomic profiling have opened new avenues for understanding the complex mechanisms underlying obesity and its comorbidities. By measuring thousands of proteins at once, researchers gain a comprehensive view of an individual’s metabolic health, revealing subclinical processes and pinpointing potential therapeutic targets.
WebinarPathways to Digital Health: AI and Omics in Rheumatoid Arthritis
Explore how groundbreaking proteomic research is transforming our understanding of rheumatoid arthritis (RA). In this on-demand webinar, Allan Stensballe, PhD, shares new insights into the molecular landscape of RA-affected synovial tissue, revealing how autoantibodies and protein signatures may hold the key to more precise personalized therapies.
WebinarUsing Antibody Profiling to Identify Novel Diagnostic Biomarkers
Current cancer screening methods often lead to false positives, false negatives and invasive biopsies that lack prognostic insights. Emerging research suggests that cancer-specific IgM and IgG antibodies – produced by B cells upon recognizing malignant cells – could serve as stable, easily measurable blood biomarkers for detecting and monitoring high-incidence cancers like melanoma and breast, prostate, bowel, lung and pancreatic cancer. This approach has the potential to improve early diagnosis, reduce uncertainty and enhance treatment planning.