Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology
Understanding the intricate interactions of cancer cells with the tumor microenvironment
(TME) is a pre-requisite for the optimization of immunotherapy. Mechanistic models such as …
(TME) is a pre-requisite for the optimization of immunotherapy. Mechanistic models such as …
[HTML][HTML] Virtual clinical trials via a QSP immuno-oncology model to simulate the response to a conditionally activated PD-L1 targeting antibody in NSCLC
Recently, immunotherapies for antitumoral response have adopted conditionally activated
molecules with the objective of reducing systemic toxicity. Amongst these are conditionally …
molecules with the objective of reducing systemic toxicity. Amongst these are conditionally …
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling
Virtual patients and digital patients/twins are two similar concepts gaining increasing
attention in health care with goals to accelerate drug development and improve patients' …
attention in health care with goals to accelerate drug development and improve patients' …
Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade
Patients with metastatic triple-negative breast cancer (TNBC) show variable responses to
PD-1 inhibition. Efficient patient selection by predictive biomarkers would be desirable, but is …
PD-1 inhibition. Efficient patient selection by predictive biomarkers would be desirable, but is …