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Conference Papers Year : 2020

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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Dates and versions

hal-03137994 , version 1 (10-02-2021)

Identifiers

  • HAL Id : hal-03137994 , version 1

Cite

Igor Koval, Thomas Dighiero, Rachael I Scahill, Alexandra Durr, Stanley Durrleman​. Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial design. CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France. ⟨hal-03137994⟩
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