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Systems‐based digital twins to help characterize clinical dose–response and propose predictive bioma...

Systems‐based digital twins to help characterize clinical dose–response and propose predictive bioma...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2bc7d8bf72c444f492e191b7c0cbf612

Systems‐based digital twins to help characterize clinical dose–response and propose predictive biomarkers in a Phase I study of bispecific antibody, mosunetuzumab, in NHL

About this item

Full title

Systems‐based digital twins to help characterize clinical dose–response and propose predictive biomarkers in a Phase I study of bispecific antibody, mosunetuzumab, in NHL

Publisher

United States: John Wiley & Sons, Inc

Journal title

Clinical and translational science, 2023-07, Vol.16 (7), p.1134-1148

Language

English

Formats

Publication information

Publisher

United States: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Phase I oncology clinical trials often comprise a limited number of patients representing different disease subtypes who are divided into cohorts receiving treatment(s) at different dosing levels and schedules. Here, we leverage a previously developed quantitative systems pharmacology model of the anti‐CD20/CD3 T‐cell engaging bispecific antibody,...

Alternative Titles

Full title

Systems‐based digital twins to help characterize clinical dose–response and propose predictive biomarkers in a Phase I study of bispecific antibody, mosunetuzumab, in NHL

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2bc7d8bf72c444f492e191b7c0cbf612

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2bc7d8bf72c444f492e191b7c0cbf612

Other Identifiers

ISSN

1752-8054

E-ISSN

1752-8062

DOI

10.1111/cts.13501

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