Pharmacodynamic drug–drug interactions
Pharmacodynamic drug–drug interactions (DDI s) occur when the pharmacological effect of
one drug is altered by that of another drug in a combination regimen. DDI s often are …
one drug is altered by that of another drug in a combination regimen. DDI s often are …
Multiscale agent-based and hybrid modeling of the tumor immune microenvironment
Multiscale systems biology and systems pharmacology are powerful methodologies that are
playing increasingly important roles in understanding the fundamental mechanisms of …
playing increasingly important roles in understanding the fundamental mechanisms of …
Machine learning in pharmacometrics: Opportunities and challenges
M McComb, R Bies… - British Journal of Clinical …, 2022 - Wiley Online Library
The explosive growth in medical devices, imaging and diagnostics, computing, and
communication and information technologies in drug development and healthcare has …
communication and information technologies in drug development and healthcare has …
A QSP model for predicting clinical responses to monotherapy, combination and sequential therapy following CTLA-4, PD-1, and PD-L1 checkpoint blockade
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 …
melanoma. The most prominent of these are the immune checkpoint inhibitors, which are …
Recent applications of quantitative systems pharmacology and machine learning models across diseases
Quantitative systems pharmacology (QSP) is a quantitative and mechanistic platform
describing the phenotypic interaction between drugs, biological networks, and disease …
describing the phenotypic interaction between drugs, biological networks, and disease …
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 integration of …
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 …
questions in drug development, such as the mechanism of action of a therapeutic agent and …
Digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer
Overwhelming evidence has shown the significant role of the tumor microenvironment (TME)
in governing the triple-negative breast cancer (TNBC) progression. Digital pathology can …
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
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 …
cancer and is the third-leading cause of cancer-related death worldwide. Most patients with …
Towards systems immunology of critical illness at scale: from single cell 'omics to digital twins
Y Vodovotz - Trends in immunology, 2023 - cell.com
Single-cell 'omics methodology has yielded unprecedented insights based largely on data-
centric informatics for reducing, and thus interpreting, massive datasets. In parallel …
centric informatics for reducing, and thus interpreting, massive datasets. In parallel …
Complete populations of virtual patients for in silico clinical trials
Motivation Model-based approaches to safety and efficacy assessment of pharmacological
drugs, treatment strategies or medical devices (In Silico Clinical Trial, ISCT) aim to decrease …
drugs, treatment strategies or medical devices (In Silico Clinical Trial, ISCT) aim to decrease …