Saha et al. (2025) are exploring the use of predictive machine learning and multimodal data to develop highly sensitive biomarkers for tracking disease progression in Friedreich Ataxia. This involves using measures like the Friedreich Ataxia Rating Scale and the Scale for the Assessment and Rating of Ataxia (SARA) to predict how the disease progresses over time.
The development of these biomarkers could significantly improve our understanding of how Friedreich Ataxia progresses and help in creating more personalized treatment plans. By using machine learning, researchers aim to enhance the accuracy of predicting disease progression, which could lead to better management and care for those affected. This approach highlights the potential for advanced data analysis techniques to improve our understanding and management of complex neurological conditions.
Clinical Trials
This is a list of upcoming or ongoing clinical trials that are actively recruiting and have been listed or updated in the last two weeks:
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