Results 21 to 30 of about 267,706 (322)

Incorporating Placebo Response in Quantitative Systems Pharmacology Models [PDF]

CPT: Pharmacometrics & Systems Pharmacology, 2019
Evan B. Wang, Lei Shen, Michael Heathman, Jason R. Chan   +3 more
doaj   +3 more sources

Coupling quantitative systems pharmacology modelling to machine learning and artificial intelligence for drug development: its <i>pAIns</i> and <i>gAIns</i>. [PDF]

Front Syst Biol
Folguera-Blasco N, Boshier FAT, Uatay A, Pichardo-Almarza C, Lai M, Biasetti J, Dearden R, Gibbs M, Kimko H.   +8 more
europepmc   +3 more sources

A Framework for Simplification of Quantitative Systems Pharmacology Models in Clinical Pharmacology [PDF]

British Journal of Clinical Pharmacology, 2020
Quantitative systems pharmacology (QSP) is a relatively new discipline within modelling and simulation that has gained wide attention over the past few years. The application of QSP models spans drug‐target identification and validation, through all drug development phases as well as clinical applications.
Abdallah Derbalah, Hesham Al‐Sallami, Chihiro Hasegawa, Abhishek Gulati, Stephen B. Duffull   +4 more
openaire   +2 more sources

Exploring biological response profiles to amyloid antibodies in clinical practice using Quantitative Systems Pharmacology [PDF]

Alzheimers Dement
Grant A, Short S, Geerts H.
europepmc   +3 more sources

Quantifying Intratumoral Heterogeneity and Immunoarchitecture Generated In-Silico by a Spatial Quantitative Systems Pharmacology Model. [PDF]

Cancers (Basel), 2023
Nikfar M, Mi H, Gong C, Kimko H, Popel AS.   +4 more
europepmc   +2 more sources

Homeostasis, injury, and recovery dynamics at multiple scales in a self-organizing mouse intestinal crypt

eLife, 2023
The maintenance of the functional integrity of the intestinal epithelium requires a tight coordination between cell production, migration, and shedding along the crypt–villus axis.
Louis Gall, Carrie Duckworth, Ferran Jardi, Lieve Lammens, Aimee Parker, Ambra Bianco, Holly Kimko, David Mark Pritchard, Carmen Pin   +8 more
doaj   +1 more source

Quantitative Systems Pharmacology Modeling in Immuno-Oncology: Hypothesis Testing, Dose Optimization, and Efficacy Prediction. [PDF]

Handb Exp Pharmacol
Wang H, Arulraj T, Ippolito A, Popel AS.
europepmc   +3 more sources

A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability [PDF]

Bulletin of Mathematical Biology, 2022
AbstractThere is an inherent tension in Quantitative Systems Pharmacology (QSP) between the need to incorporate mathematical descriptions of complex physiology and drug targets with the necessity of developing robust, predictive and well-constrained models.
Sher, A, Niederer, SA, Mirams, GR, Kirpichnikova, A, Allen, R, Pathmanathan, P, Gavaghan, DJ, van der Graaf, PH, Noble, D   +8 more
openaire   +4 more sources

Broadening our understanding of genetic risk for scleroderma/systemic sclerosis by querying the chromatin architecture surrounding the risk haplotypes

BMC Medical Genomics, 2021
Background Genetic variants in the human leukocyte antigen (HLA) locus contribute to the risk for developing scleroderma/systemic sclerosis (SSc). However, there are other replicated loci that also contribute to genetic risk for SSc, and it is unknown ...
Kerry E. Poppenberg, Vincent M. Tutino, Evan Tarbell, James N. Jarvis   +3 more
doaj   +1 more source

In vitro to clinical translational pharmacokinetic/pharmacodynamic modeling of doxorubicin (DOX) and dexrazoxane (DEX) interactions: Safety assessment and optimization

Scientific Reports, 2023
Despite high anticancer activity, doxorubicin (DOX)-induced cardiotoxicity (DIC) limits the extensive utility of DOX in a clinical setting. Amongst various strategies explored, dexrazoxane (DEX) remains the only cardioprotective agent to be approved for ...
Hardik Mody, Tanaya R. Vaidya, Sihem Ait-Oudhia   +2 more
doaj   +1 more source