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Conference papers

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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https://hal.inria.fr/hal-03137994
Contributor : Igor Koval Connect in order to contact the contributor
Submitted on : Wednesday, February 10, 2021 - 6:48:19 PM
Last modification on : Wednesday, January 26, 2022 - 2:32:04 PM
Long-term archiving on: : Tuesday, May 11, 2021 - 9:09:17 PM

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  • HAL Id : hal-03137994, version 1

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Igor Koval, Thomas Dighiero, Rachael 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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