日本臨床薬理学会学術総会抄録集
Online ISSN : 2436-5580
第43回日本臨床薬理学会学術総会
セッションID: 43_1-C-S01-2
会議情報

シンポジウム
State-of the-Art in MIDD: A QSP COVID-19 Case Study
*Musante Cynthia J.
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会議録・要旨集 フリー

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抄録

A quantitative systems pharmacology (QSP) model of the pathogenesis and treatment of SARS-CoV-2 infection can inform and accelerate the development of novel medicines to treat COVID-19. Simulations of clinical trials allow in silico exploration of the uncertainties of clinical trial design and can rapidly inform protocol decisions. To this end, I will discuss the development of a QSP model of COVID-19 that was used to inform and accelerate the clinical development of nirmatrelvir, a novel SARS-CoV-2 protease inhibitor.

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