Pathways to Digital Health: AI and Omics in Rheumatoid Arthritis
Unraveling the role of autoantibodies in rheumatoid arthritis: Toward personalized treatment
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.
What you’ll learn:
- How integrated proteomic and immunological profiling uncovers distinct RA subtypes
- The role of autoantibodies in tracking disease progression and predicting treatment outcomes using KREX™ technology
- New molecular insights into RA pathology and therapeutic targeting opportunities
Whether you’re researching autoimmune mechanisms or exploring novel diagnostics and treatments, this session offers valuable perspectives from the frontlines of proteomics and precision medicine.
Watch now and take the next step in understanding RA at the molecular level.
Allan Stensballe, PhD
Aalborg University
Allan Stensballe is a distinguished researcher in the field of proteomics, focused on elucidating the molecular mechanisms underlying autoimmune disorders like RA. By integrating advanced proteomic technologies – such as nanoproteomics and protein array-based diagnostics – with clinical and immunological data, his pioneering work has significantly advanced personalized medicine by identifying disease biomarkers, exploring the role of the extracellular matrix in RA and informing targeted therapeutic strategies.
Pathways to Digital Health: AI and Omics in Rheumatoid Arthritis
A presentation by Allan Stensballe, PhD
More webinars
WebinarFinding the signal: Identifying reproducible biomarkers in high-plex proteomics
In biomarker discovery, the challenge is rarely a lack of data. Rather, it is knowing how to separate meaningful biological signal from technical distraction. This webinar focuses on how to use univariate analysis as a practical and powerful entry point for biomarker discovery in high-plex proteomics studies.
WebinarMore than the sum of its parts: How harmonized proteomic data reveals meaning across disparate clinical cohorts
Proteomics data generated across sites, time points, and workflows can be difficult to compare using standard normalization alone. This webinar shows how harmonization aligns datasets into a shared biological framework and reveals signals across studies and cohorts, highlighted through the GNPC’s analysis of 40,000 patient samples.
WebinarB Cell Repertoire in Determining Responses to Checkpoint Blockade in NSCLC
In this webinar, Gary Middleton, MD, PhD, and Akshay Patel, PhD, from the University of Birmingham explore the role of the B cell repertoire and autoantibodies in shaping responses to checkpoint blockade immunotherapy in non-small-cell lung cancer (NSCLC). They demonstrate how autoantibody profiling using the i-Ome™ Discovery protein microarray revealed biomarkers predictive of treatment efficacy and immune-related adverse events (irAEs), providing insights into biomarker development and personalized immunotherapy strategies.