Advancing MS Clinical Trials: Integrating Medical Imaging, Precision Motion Analysis, and eCOA Data for Enhanced Outcomes
Session introduction
Session information:
Date: September 17, 2024
Time:
- 11:00 a.m. – 12:00 p.m. ET (NA-East)
- 16:00 – 17:00 GMT (UK)
- 17:00 – 18:00 CET (EU-Central)
Session overview:
This presentation offers a comprehensive exploration into how cutting-edge technologies are advancing Multiple Sclerosis (MS) clinical trials. 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.
Medical Imaging: Advanced Techniques and AI Integration. Discover the critical role of medical imaging in MS trials, focusing on advancements in image analysis and AI based lesion detection, which enhances accuracy and efficiency.
Precision Motion Analysis: Technology and Impact. Learn how precision motion monitoring, using wearable sensors and algorithms to assess motor function in MS patients can provide detailed insights into gait, balance, and movement, and enhance ability to determine drug efficacy.
eCOA: Data Collection and Monitoring. Explore the transformative impact of high quality eCOAs on MS trials, focusing on its role in rater qualification, data collection, and review; particularly as it relates to the Expanded Disability Status Scale (EDSS).
The speakers will also 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 MS clinical trials.
Key takeaways:
- Learn how AI enhances image analysis, lesion detection, and predictive modeling for more accurate and efficient MS trials.
- Gain insights into how wearable sensors and algorithms provide detailed assessments of motor function, aiding in intervention evaluation.
- See how a well-executed eCOA strategy can enhance data quality and accuracy, particularly with the Expanded Disability Status Scale (EDSS).
- Review recent studies demonstrating the practical applications and benefits of integrating these technologies in MS clinical trials.
Speakers
Madhura Ingalhalikar, Ph.D.
MRI Scientist at Clario
Dr. 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. Dr. Ingalhalikar received a Ph.D. in biomedical engineering from the University of Iowa, with a keen focus on method development for deformable registration of diffusion tensor images. At her post-doctoral fellowship at the University of Pennsylvania, department of radiology, she progressed from the diffusion MRI to connectomics and machine learning for neuro-image analysis. 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.
Adam Jagodinsky, Ph.D.
Scientific Advisor, Precision Motion at Clario
Dr. Jagodinsky is a scientific advisor and oncology lead on 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.
Laura Khurana, MPH
Principal Scientific Advisor at 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, and 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. She has experience supporting trials across a wide range of clinical indications, including multiple sclerosis, headache and migraine, dermatology, and diabetes. Laura earned her MPH from Boston University School of Public Health, and her BA from the University of Georgia.