Utilizing signatures of age in the urine metabolome to construct metrics of biological age on the basis of the concept of individualization

12 novembre 2018

Auditorium, local 2458
Hôpital et centre d’hébergement D’Youville

de 12 h à 13 h | Disponible en visioconférence, 30 min prétest (réservez tôt)

Présentation en anglais

Myriads of methods have been proposed to measure biological age with the goal of enabling a personalized prognosis of age-related health issues and tailored treatments. However, it is highly unclear which method best suits the goal of measuring biological age in the context of a given dataset. Here, we present a new statistical definitional framework for quantifying biological age, generalizing recently published work on individualization.


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