Cutting-edge machine learning models are revolutionizing the landscape of multiple sclerosis (MS) research. Presented at the 2024 ACTRIMS Forum, a recent study showcased the application of a machine learning model to predict disability progression in real-world MS patients. Here are key insights:
Improving Real-World Studies
- The model increased the pool of patients available for real-world studies.
- It provided a comprehensive understanding of disability progression across disease stages.
Study Findings
- 4366 patients were studied, revealing smooth disability progression from RRMS to SPMS.
- An additional 46,644 predicted EDSS scores enhanced data completeness.
Future Implications
- AI and machine learning offer promising avenues for personalized MS treatment.
- Decision support tools can optimize treatment strategies basedon patient journeys.
Source OM1
