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Upcoming webinar: Predicting subjective or complex clinical outcomes in QSP models

From: Rebecca Baillie <rbaillie>
Date: Tue, 4 May 2021 22:03:18 +0000

Predicting subjective or complex clinical outcomes in QSP models: challenge=
s and approaches
Vincent Hurez, DVM, PHD, Senior Scientist, Rosa & Co LLC
Wednesday May 12, 2021, 12:00 pm to 1:00 pm EDT
Register for free at:
Many clinical trials use complex disease activity scores to assess patient =
response, and the connections between biological components and these score=
s are often unclear. We explore how QSP modeling supports elucidation of di=
sease pathophysiology and better-informed extrapolation between biological =
components and disease scores to facilitate prediction of clinical outcomes=
. Disease scores can be modeled by (1) identifying the components of each d=
isease activity score, (2) formulating a biological rationale for associati=
ng specific biomarkers with each score component, and (3) calibrating the p=
roposed function using clinical data from existing therapies. QSP models ar=
e valuable tools to integrate existing mechanistic and clinical data. The a=
bility to integrate and generate plausible predictions of standard clinical=
 disease scores in response to novel interventions improves the clinical ac=
ceptance and usability of QSP models.

Received on Tue May 04 2021 - 18:03:18 EDT

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