Clinical pharmacology considerations for the development of immune checkpoint inhibitors

J Sheng, S Srivastava, K Sanghavi, Z Lu… - The Journal of …, 2017 - Wiley Online Library
Immuno‐oncology works through activation of the patient's immune system against cancer,
with several advantages over other treatment approaches, including cytotoxic agents and …

A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics

PR Somvanshi, KV Venkatesh - Systems and synthetic biology, 2014 - Springer
Human physiology is an ensemble of various biological processes spanning from
intracellular molecular interactions to the whole body phenotypic response. Systems biology …

Efficient generation and selection of virtual populations in quantitative systems pharmacology models

RJ Allen, TR Rieger, CJ Musante - CPT: pharmacometrics & …, 2016 - Wiley Online Library
Quantitative systems pharmacology models mechanistically describe a biological system
and the effect of drug treatment on system behavior. Because these models rarely are …

[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 …

Virtual populations for quantitative systems pharmacology models

Y Cheng, R Straube, AE Alnaif, L Huang, TA Leil… - Systems Medicine, 2022 - Springer
Quantitative systems pharmacology (QSP) places an emphasis on dynamic systems
modeling, incorporating considerations from systems biology modeling and …

QSP‐IO: a quantitative systems pharmacology toolbox for mechanistic multiscale modeling for immuno‐oncology applications

RJ Sové, M Jafarnejad, C Zhao, H Wang… - CPT …, 2020 - Wiley Online Library
Immunotherapy has shown great potential in the treatment of cancer; however, only a
fraction of patients respond to treatment, and many experience autoimmune‐related side …

Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus

CB Landersdorfer, WJ Jusko - Clinical pharmacokinetics, 2008 - Springer
Diabetes mellitus is a major health risk in many countries, and the incidence rates are
increasing. Diverse therapeutic agents are applied to treat this condition. Since 1960 …

Alternate virtual populations elucidate the type I interferon signature predictive of the response to rituximab in rheumatoid arthritis

BJ Schmidt, FP Casey, T Paterson, JR Chan - BMC bioinformatics, 2013 - Springer
Background Mechanistic biosimulation can be used in drug development to form testable
hypotheses, develop predictions of efficacy before clinical trial results are available, and …

QSP toolbox: computational implementation of integrated workflow components for deploying multi-scale mechanistic models

Y Cheng, CJ Thalhauser, S Smithline, J Pagidala… - The AAPS journal, 2017 - Springer
Quantitative systems pharmacology (QSP) modeling has become increasingly important in
pharmaceutical research and development, and is a powerful tool to gain mechanistic …

Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy

S Barish, MF Ochs, ED Sontag… - Proceedings of the …, 2017 - National Acad Sciences
Cancer is a highly heterogeneous disease, exhibiting spatial and temporal variations that
pose challenges for designing robust therapies. Here, we propose the VEPART (Virtual …