Conducting real-world research in rheumatology is challenging. Patients often present with multiple comorbidities, disease measures are inconsistently captured in routine care, and traditional data sources don’t always reflect full patient journeys across specialties. In this webinar, OM1 experts will share how AI-enabled, multi-source real-world data can help overcome these barriers and deliver more robust, generalizable insights. Drawing on recent research and case studies, including a large real-world study of rheumatoid arthritis patients, we’ll highlight how novel endpoints such as estimated Clinical Disease Activity Index (CDAI) and advanced analytics are closing evidence gaps and reshaping the future of rheumatology research.
Key Highlights:
- Understand how AI-derived endpoints (e.g., eCDAI) and multi-source data can fill critical evidence gaps in rheumatology research.
- Explore approaches for leveraging advanced methods and linked data to generate insights such as treatment response and predictors of disease activity in rheumatology.
- Explore opportunities to leverage AI-enabled RWD to inform regulatory, HEOR, and clinical strategies in rheumatology and beyond.
Why Attend?
This is a fantastic opportunity to learn more about the treatment landscape in this complex disease. Attendees can participate in a live Q&A session at the end of the presentation or submit questions in advance of the event.
Join us for an informative session that will provide fascinating insights into how RWE can overcome these challenging questions in rheumatology. Register now to secure your spot!
Webinar Leaders
Chandrasekar “Chandra” Gopalakrishnan
Senior Principal Epidemiologist, OM1
Carl Marci, MD
Chief Clinical Officer, Chief Psychiatrist and Managing Director of Mental Health and Neuroscience, OM1
About OM1:
OM1 is pioneering cutting-edge healthcare innovation through its insights-driven AI technology and data. OM1 specializes in personalized medicine, evidence generation, and real-world evidence (RWE) research powered by next-generation AI platforms, deep longitudinal data, and globally recognized thought leadership. OM1 is led by a diverse group of scientists, engineers, researchers, and clinicians with over 30 years of experience in RWE.
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