Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial design
Abstract
Patient inclusion is a crucial step in the setting of clinical trials, especially in rare diseases like Huntington's disease. The current selection process relies mostly on baseline measurements and cofactor values. This coarse estimate of the patient’s profile leads to heterogeneous cohortsin clinical trials, which leads to uncertain therapeutic approaches. To this end, we developed a method that can position any patient on a common reference timeline of HD progression. From it, patients can be selected based on their future temporal profile.
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