Article

Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition

2023-04-28

Abstract excerpt

Generating realistic virtual patients from a limited amount of patient data is one of the major challenges for quantitative systems pharmacology modeling in immuno-oncology. Quantitative systems pharmacology (QSP) is a mathematical modeling methodology that integrates mechanistic knowledge of biological systems to investigate dynamics in a whole system during disease progression and drug treatment. In the present...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 45a1ed44-5222-5e66-a3c9-ad570000c0ed
DOI: 10.1101/2023.04.25.538191

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibitionDOI 10.1101/2023.04.25.538191Read

Dose Regimen Optimization of PD-L1 Inhibitor and Nab-paclitaxel in Patients with NSCLC: a Quantitative Systems Pharmacology analysisSemantic proximity Read

Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancerSemantic proximity Read

A Quantitative Systems Pharmacology Model of the Pathophysiology and Treatment of COVID-19 Predicts Optimal Timing of Pharmacological InterventionsSemantic proximity Read

Approaches to generating virtual patient cohorts with applications in oncologySemantic proximity Read

Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockadeSemantic proximity Read

Modular mechanistic mathematical models for improved biomarker identification and treatment scheduling in oncologySemantic proximity Read

A quantitative systems pharmacology workflow towards optimal design and biomarker stratification of atopic dermatitis clinical trialsSemantic proximity Read

Informing virtual clinical trials of hepatocellular carcinoma with spatial multi-omics analysis of a human neoadjuvant immunotherapy clinical trialSemantic proximity Read

Virtual clinical trial simulations for a novel KRASG12C inhibitor (ASP2453) in non-small cell lung cancer.Semantic proximity Read

A Quantitative Systems Pharmacology Model of T Cell Engager Applied to Solid TumorSemantic proximity Read

Predicting survival in prospective clinical trials using weakly-supervised QSPSemantic proximity Read

Efficient Generation and Selection of Virtual Populations in Quantitative Systems Pharmacology ModelsSemantic proximity Read