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

Optimization Problems01:26

Optimization Problems

75
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
75
Unrealistic Optimism Bias01:30

Unrealistic Optimism Bias

241
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
241
Optimal Foraging00:48

Optimal Foraging

13.9K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.9K
Drug Dosage Regimen: Overview01:15

Drug Dosage Regimen: Overview

4.5K
A drug dosage regimen describes the specific instructions and schedule for administering a drug to a patient. It considers factors such as drug dosage, frequency, route of administration, and duration of treatment. Designing an appropriate dosage regimen for a patient aims to achieve a target drug concentration at the site of action.
Typically, the starting dose and dosing interval are guided by the manufacturer's recommendations based on clinical trials conducted during and after drug...
4.5K
Optimal Arousal Theory01:23

Optimal Arousal Theory

858
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
858
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

1.0K
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Systemic mRNA vaccines elicit rapid immune activation in canine brain tumors.

Journal for immunotherapy of cancer·2025
Same author

Understanding Immune Dynamics in Liver Transplant Through Mathematical Modeling.

Bulletin of mathematical biology·2025
Same author

Quantitative methods for optimizing patient outcomes in liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society·2023
Same author

Optimization of combination therapy for chronic myeloid leukemia with dosing constraints.

Journal of mathematical biology·2018
Same journal

Optimizing Subcutaneous Antibody Dosing Regimens Through Operating Space Maps: rHuPH20 Case Study.

Journal of pharmacokinetics and pharmacodynamics·2026
Same journal

Mechanistic modeling of FcRn-dependent IgG drug interactions: Clinical applications and dosing implications.

Journal of pharmacokinetics and pharmacodynamics·2026
Same journal

Comparing heavy-tailed residual error models for outlier handling in population PK modeling.

Journal of pharmacokinetics and pharmacodynamics·2026
Same journal

Personalized prophylactic therapy optimization in hemophilia A using a hybrid PK-PD-TTE model and deep RL.

Journal of pharmacokinetics and pharmacodynamics·2026
Same journal

Pediatric oral cavity physiologically based pharmacokinetic model to predict pharmacokinetics of mucoadhesive atropine gel to treat sialorrhea.

Journal of pharmacokinetics and pharmacodynamics·2026
Same journal

Exposure-safety analyses of talazoparib in combination with enzalutamide in patients with metastatic castration-resistant prostate cancer (mCRPC) in the TALAPRO-2 trial.

Journal of pharmacokinetics and pharmacodynamics·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

Optimized Intravenous Injection in Adult Zebrafish
05:17

Optimized Intravenous Injection in Adult Zebrafish

Published on: December 20, 2024

2.1K

How to mathematically optimize drug regimens using optimal control.

Helen Moore1,2

  • 1Bristol-Myers Squibb, Route 206 & Province Line Road, Princeton, NJ, 08543, USA. dr.helen.moore@gmail.com.

Journal of Pharmacokinetics and Pharmacodynamics
|February 8, 2018
PubMed
Summary
This summary is machine-generated.

Optimal control is a mathematical technique to optimize real-world models, especially for disease and combination therapy treatments. This article makes optimal control accessible for biopharma modelers in drug development.

Keywords:
Combination therapyConstrained optimizationControl theoryDisease modelingOptimal control

More Related Videos

Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay
08:23

Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay

Published on: April 21, 2023

3.7K
Optimization of Radiochemical Reactions using Droplet Arrays
10:54

Optimization of Radiochemical Reactions using Droplet Arrays

Published on: February 12, 2021

3.9K

Related Experiment Videos

Last Updated: Feb 6, 2026

Optimized Intravenous Injection in Adult Zebrafish
05:17

Optimized Intravenous Injection in Adult Zebrafish

Published on: December 20, 2024

2.1K
Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay
08:23

Author Spotlight: Optimization of Performance Parameters of the TAGGG Telomere Length Assay

Published on: April 21, 2023

3.7K
Optimization of Radiochemical Reactions using Droplet Arrays
10:54

Optimization of Radiochemical Reactions using Droplet Arrays

Published on: February 12, 2021

3.9K

Area of Science:

  • Mathematical modeling
  • Pharmacology
  • Biostatistics

Background:

  • Optimal control is a mathematical technique for optimizing systems.
  • Historically, it has found applications across various scientific fields.
  • Its application in disease and therapy optimization is a growing area.

Purpose of the Study:

  • To provide an accessible overview of optimal control for biopharma modelers.
  • To highlight the application of optimal control in optimizing combination therapies.
  • To illustrate the basic theory with a practical example in leukemia treatment.

Main Methods:

  • Review of optimal control theory and historical development.
  • Application of optimal control principles to disease and therapy optimization.
  • Case study: optimizing combination drug doses for leukemia.

Main Results:

  • Demonstration of optimal control's utility in optimizing complex therapeutic regimens.
  • Successful illustration of dose optimization for combination therapy in leukemia.
  • Provided references for advanced applications in drug development.

Conclusions:

  • Optimal control offers a powerful framework for optimizing drug development and therapeutic strategies.
  • The technique can be effectively applied to complex scenarios like combination therapies.
  • Increased accessibility of optimal control can benefit the biopharma community.