[HTML][HTML] Recent applications of quantitative systems pharmacology and machine learning models across diseases

SS Aghamiri, R Amin, T Helikar - Journal of pharmacokinetics and …, 2022 - Springer
Quantitative systems pharmacology (QSP) is a quantitative and mechanistic platform
describing the phenotypic interaction between drugs, biological networks, and disease …

[HTML][HTML] Two heads are better than one: current landscape of integrating QSP and machine learning: an ISoP QSP SIG white paper by the working group on the …

T Zhang, IP Androulakis, P Bonate, L Cheng… - … of Pharmacokinetics and …, 2022 - Springer
Quantitative systems pharmacology (QSP) modeling is applied to address essential
questions in drug development, such as the mechanism of action of a therapeutic agent and …

[图书][B] Uncertainty quantification: theory, implementation, and applications

RC Smith - 2024 - SIAM
Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …

[HTML][HTML] A QSP model for predicting clinical responses to monotherapy, combination and sequential therapy following CTLA-4, PD-1, and PD-L1 checkpoint blockade

O Milberg, C Gong, M Jafarnejad, IH Bartelink… - Scientific reports, 2019 - nature.com
Over the past decade, several immunotherapies have been approved for the treatment of
melanoma. The most prominent of these are the immune checkpoint inhibitors, which are …

[HTML][HTML] Digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer

H Mi, C Gong, J Sulam, EJ Fertig, AS Szalay… - Frontiers in …, 2020 - frontiersin.org
Overwhelming evidence has shown the significant role of the tumor microenvironment (TME)
in governing the triple-negative breast cancer (TNBC) progression. Digital pathology can …

[HTML][HTML] Virtual clinical trials of anti-PD-1 and anti-CTLA-4 immunotherapy in advanced hepatocellular carcinoma using a quantitative systems pharmacology model

RJ Sové, BK Verma, H Wang, WJ Ho… - … for immunotherapy of …, 2022 - ncbi.nlm.nih.gov
Background Hepatocellular carcinoma (HCC) is the most common form of primary liver
cancer and is the third-leading cause of cancer-related death worldwide. Most patients with …

Applications of quantitative systems pharmacology in model‐informed drug discovery: perspective on impact and opportunities

EL Bradshaw, ME Spilker, R Zang… - CPT …, 2019 - Wiley Online Library
Quantitative systems pharmacology (QSP) approaches have been increasingly applied in
the pharmaceutical since the landmark white paper published in 2011 by a National …

In silico simulation of a clinical trial with anti-CTLA-4 and anti-PD-L1 immunotherapies in metastatic breast cancer using a systems pharmacology model

H Wang, O Milberg, IH Bartelink… - Royal Society …, 2019 - royalsocietypublishing.org
The low response rate of immune checkpoint blockade in breast cancer has highlighted the
need for predictive biomarkers to identify responders. While a number of clinical trials are …

[HTML][HTML] Combination therapy with T cell engager and PD-L1 blockade enhances the antitumor potency of T cells as predicted by a QSP model

H Ma, H Wang, RJ Sové, J Wang… - … for immunotherapy of …, 2020 - ncbi.nlm.nih.gov
Background T cells have been recognized as core effectors for cancer immunotherapy. How
to restore the anti-tumor ability of suppressed T cells or improve the lethality of cytotoxic T …

[HTML][HTML] A computational model of neoadjuvant PD-1 inhibition in non-small cell lung cancer

M Jafarnejad, C Gong, E Gabrielson, IH Bartelink… - The AAPS journal, 2019 - Springer
Immunotherapy and immune checkpoint blocking antibodies such as anti-PD-1 are
approved and significantly improve the survival of advanced non-small cell lung cancer …