Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

96
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
96

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Endothelial MHC expression is required to initiate T cell-mediated rejection of 3D-printed skin grafts.

JCI insight·2026
Same author

Precision Design of Single-Atom Catalysts for High-Performance Biosensors.

Chemical record (New York, N.Y.)·2026
Same author

Towards clinical translation of nanomedicines: Formulation scale-up and model systems.

Advanced drug delivery reviews·2026
Same author

Advances in peptide nucleic acid for targeting RNA and genomic DNA.

Cell reports. Physical science·2026
Same author

Engineered cargo-free nanoparticle decoys for phagocytic modulation of macrophages.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Prenatal Intraportal Delivery of Polymeric Nanoparticles to Fetal Rhesus Monkeys (<i>Macaca mulatta</i>).

Human gene therapy·2026
Same journal

Loss of internal structural order induced by freezing and Lyophilization correlates with reduced in vitro activity of mRNA lipid nanoparticles.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Muscle contribution in lipid nanoparticle mediated mRNA vaccine delivery and efficacy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Tacrolimus nanocrystal-loaded glycyrrhizic acid hydrogel for the treatment of corneal alkali burn.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Bio-recruiting hydrogel targeting mitochondrial homeostasis under neutrophil extracellular traps for diabetic wound repair.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Cubosomes with pH-triggered cubic phase transition enable cytosolic mRNA delivery for acute respiratory distress syndrome therapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same journal

Integrating PD-L1-targeted radioligand with protein degradation for precision tumor theranostics.

Journal of controlled release : official journal of the Controlled Release Society·2026
See all related articles

Related Experiment Video

Updated: Jul 23, 2025

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.7K

Rational nanoparticle design: Optimization using insights from experiments and mathematical models.

Owen Richfield1, Alexandra S Piotrowski-Daspit1, Kwangsoo Shin1

  • 1Department of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.

Journal of Controlled Release : Official Journal of the Controlled Release Society
|July 13, 2023
PubMed
Summary
This summary is machine-generated.

Rational design of polymeric nanoparticles using mathematical models can optimize drug delivery. However, complexity requires extensive data for accurate modeling and quantitative design frameworks.

Keywords:
Multiscale mathematical modelingNanoparticle pharmacokineticsPhysiologically based pharmacokineticsPolymeric nanoparticlesRational nanoparticle design

More Related Videos

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles
11:54

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles

Published on: June 25, 2018

10.4K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.5K

Related Experiment Videos

Last Updated: Jul 23, 2025

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.7K
Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles
11:54

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles

Published on: June 25, 2018

10.4K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.5K

Area of Science:

  • Biomaterials Science
  • Nanotechnology
  • Pharmaceutics

Background:

  • Polymeric nanoparticles are versatile drug delivery systems with potential for targeted therapy.
  • Rational design, aided by mathematical models, offers a pathway to optimize nanoparticle performance.
  • Current challenges hinder the full realization of rational design due to system complexity.

Conclusions:

  • Fully realizing rational nanoparticle design demands extensive experimental data for multi-scale modeling.
  • Quantitative nanoparticle design frameworks are proposed to address data limitations and uncertainty.
  • This approach aims to improve therapeutic efficacy and reduce experimental redundancy.