CNS Trials with Sensors to Capture Patient Data
About this webinar
More than one in three people worldwide are affected by neurological conditions, driving a high demand for new treatments. Yet many central nervous system (CNS) trials still rely on endpoints that offer only a limited view into patients’ lived experiences — potentially delaying innovation and regulatory progress.
Advances in sensors and wearable devices are now enabling continuous, objective measurement of subtle cognitive, physiological and physical changes that often go undetected by traditional endpoints.
Including a use case in Alzheimer’s disease, this webinar will explore how validated digital endpoints from sensor data can enhance CNS trial efficiency, improve patient monitoring and accelerate regulatory confidence in novel measures.
Register for this webinar to learn how sensor-based data can address the main challenges that hinder traditional endpoint measurement in CNS clinical trials.
Who should attend
- Medical Directors and Clinical Development Leaders
- Clinical Pharmacologists and Neurologists involved in drug development
- Digital Health and Innovation Leads
- Heads of R&D, Clinical Operations or Data Science
- Regulatory Affairs and Evidence Generation Specialists
- Sponsors and CRO professionals seeking to modernize endpoints
- Anyone exploring sensor-based technologies to improve CNS trial design and outcomes
What you will learn
- Identify the primary challenges that hinder traditional endpoint measurement in CNS clinical trials and how sensor-based data can overcome them
- Explore practical applications of wearable sensor technology in Alzheimer’s disease trials
Featured Speakers
Melissa Ceruolo
Melissa Ceruolo is an experienced engineering executive specializing in software engineering and biomarker analytics. Currently serving as VP of Engineering & Biomarker Analytics at Medidata Solutions since October 2020, Melissa previously held the position of VP of Software Engineering and Data Products at MC10 Inc., where key achievements included the commercialization of innovative medical devices and leadership of interdisciplinary teams in software development. Earlier experience includes roles in project management and technical innovation within various engineering firms, contributing to product development and regulatory compliance in the medical device and biopharmaceutical sectors. Melissa holds an MS in Engineering and Management from the Massachusetts Institute of Technology and a BS in Mechanical Engineering from Carnegie Mellon University.
Brett Meyer
Brett Meyer is a Senior Data Scientist at Medidata Solutions, where he focuses on the analysis and creation of digital endpoints across various conditions. Holding a PhD in Data Science and Complex Systems from the University of Vermont, Brett’s research since 2019 has significantly emphasized Central Nervous System (CNS) diseases. His work extensively explores the application of wearable sensors alongside advanced machine learning and signal processing techniques to better understand and address health challenges, particularly in balance and mobility assessment, while aiming to reduce patient burden.
Partner for this event
Medidata
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 35,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest patient-level historical clinical trial data set in the world. More than 1 million registered users across approximately 2,300 customers trust Medidata’s seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com and follow us @Medidata.
Related webinars
More from Medidata Solutions.
Efficient eCOA Implementation in Clinical Trials
Digitizing Alzheimer’s Disease Trials with eCOA and Digital Cognitive Assessments
Risk-Based Quality Management (RBQM): The Connective Tissue for Clinical Data Quality
Improving Patient Experience: Optimizing Patient Payment Systems Through Collaboration
Streamlining Clinical Trial Imaging Workflows: From Collection to Completion
Outsourcing Site Payments from the Sponsors’ Perspective
Accelerating Decentralized Trials with a Unified Approach to Wearable Sensors
Preparing for ICH E6 (R3) Good Clinical Practice Changes
Imaging AI and Machine Learning – Beyond the Hype
Site Quality Management to Optimize Risk-Based and Centralized Monitoring
Data-driven Site Negotiations: Fast Track to Fair Market Value (FMV)
Streamlining the Site Budgeting and Payment Process
