2024 - Advancing MS Clinical Trials: Integrating Medical Imaging, Precision Motion Analysis, and eCOA Data for Enhanced Outcomes

This webinar offers a comprehensive exploration into how cutting-edge technologies are advancing multiple sclerosis clinical trials. Attendees will learn how the incorporation of advanced medical imaging, precision motion analysis and electronic clinical outcome assessment (eCOA) data can lead to more precise, reliable and patient-centered results.
In this webinar, the expert speakers will delve into how artificial intelligence (AI) is revolutionizing image analysis, lesion detection and predictive modeling as well as significantly enhancing the accuracy and efficiency of multiple sclerosis clinical trials:
Medical Imaging: The critical role of medical imaging in multiple sclerosis clinical trials owing to advancements in image analysis and AI-based lesion detection, which enhances accuracy and efficiency
Precision Motion Analysis: Attendees will learn how precision motion monitoring, using wearable sensors and algorithms to assess motor function in multiple sclerosis patients, can provide detailed insights into gait, balance and movement, as well as enhance ability to determine drug efficacy
eCOA: The transformative impact of high-quality eCOAs on multiple sclerosis clinical trials owing to their role in rater qualification, data collection and review, particularly the expanded disability status scale (EDSS)
Furthermore, the speakers will review recent studies that demonstrate the practical applications and benefits of integrating these advanced technologies in multiple sclerosis clinical trials, showcasing real-world impacts and advancements in the field.
Register for this webinar today to learn about how the integration of advanced medical imaging, precision motion analysis and eCOA helps run more accurate, reliable multiple sclerosis clinical trials.
Keywords: Multiple Sclerosis, Clinical Research, CRO, Medical Imaging, Clinical Data, eCOA, Therapeutic Areas, CNS, Imaging, Laboratory Technology, Artificial Intelligence, AI, electronic Clinical Outcome Assessments (eCOA)