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.
Speakers
![](https://i0.wp.com/xtalks.com/wp-content/uploads/2022/08/Ingalhalikar1_150.jpg?fit=145%2C150&ssl=1)
Dr. Madhura Ingalhalikar, MRI Scientist, Clario
Dr. Madhura Ingalhalikar is an expert in MR Neuroimage acquisition, processing and analysis. Her clinical trial work on imaging endpoints targets the development of novel techniques in diffusion MRI analysis and connectomics, neuro-radiomics and AI-based analysis applied to multiple sclerosis, Parkinson’s disease, multi-system atrophy, Duchene’s muscular dystrophy, autism and brain tumors.
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She has authored over 50 high-impact research papers and serves as Associate Editor of the Journal of Neuroradiology, the official publication of the French Society of Neuroradiology.
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![Laura Khurana, Clario](https://i0.wp.com/xtalks.com/wp-content/uploads/2024/03/L-Khurana-150.jpg?fit=150%2C150&ssl=1)
Laura Khurana, MPH, Principal Scientific Advisor, eCOA Science & Consulting, Clario
Laura Khurana is an experienced public health and clinical research professional with a special interest in electronic clinical outcome assessments (eCOAs) for clinical trials. Laura has 17 years of experience in the clinical research industry, initially working in web-based data collection for patient registries and post-approval safety studies.
Laura has been at Clario for 10 years. In her current role, as Principal Scientific Advisor, she is responsible for leading the scientific direction for eCOA services, including directing data collection design strategy based on best practices, knowledge of the literature, patient and site preferences and applicable regulations.
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![Adam Jagodinksy, Clario](https://i0.wp.com/xtalks.com/wp-content/uploads/2023/10/Clario-webinar-59-A-Jagodinsky.jpg?fit=300%2C300&ssl=1)
Dr. Adam Jagodinsky, PhD, Scientific Advisor, Precision Motion, Clario
Dr. Adam Jagodinsky is a Scientific Advisor and Oncology Lead in the Precision Motion Science and Consulting team where he works to advance the use of digital health technologies in clinical and academic research. Dr. Jagodinsky consults with sponsors on implementing wearable sensor solutions in clinical trials and provides comprehensive scientific support surrounding instrumented test and endpoint selection.
Prior to joining Clario, Dr. Jagodinsky earned tenure in the Department of Exercise Science at Illinois State University. He has a background in biomechanics and human movement science, and his research focuses on the mechanics and control of gait and posture as well as leveraging technology for field-based human movement assessment.
Who Should Attend?
- CEOs/Chief Medical Officers/Chief Scientific Officers
- Clinical Data Managers/IT/Clinical Monitoring
- Clinical Operations (early phase)/Clinical Operations/Clinical Development/Clinical Research
- Clinical Pharmacologists/Scientists
- Data Science/Digital Health/Innovation/Operations/Health Economics and Outcomes Research
- Imaging Scientists
- Medical Affairs/Medical Monitor/Head of Development for Program
- Protocol Managers
- Regulatory Affairs
- Sr. Managers, Trial Initiation
- TA Experts in Neuroscience/Multiple Sclerosis
What You Will Learn
Attendees will learn about:
- How AI enhances image analysis, lesion detection and predictive modeling for more accurate and efficient multiple sclerosis clinical trials
- How wearable sensors and algorithms provide detailed assessments of motor function, aiding in intervention evaluation
- How a well-executed eCOA strategy can enhance data quality and accuracy, particularly with the EDSS
- Recent studies demonstrating the practical applications and benefits of integrating these technologies in multiple sclerosis clinical trials
Xtalks Partner
Clario
Clario is a leading healthcare research and technology company that generates the highest quality clinical evidence for our pharmaceutical, biotech, and medical device partners. We offer comprehensive evidence-generation solutions that combine eCOA, cardiac safety, medical imaging, precision motion, and respiratory endpoints. Clario’s science, technology, and operational experts have helped deliver over 26,000 trials and contributed to over 800 regulatory approvals in more than 100 countries. For more than 50 years, we have provided deep scientific expertise and the broadest endpoint technologies to help transform lives around the world.
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