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

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

6.6K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.6K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

270
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
270
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

59.7K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
59.7K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

548
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
548
Molecular Models02:00

Molecular Models

43.9K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

774
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
774

You might also read

Related Articles

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

Sort by
Same author

Mortality and Readmission Outcomes for Intensive and Conventional Cardiac Rehabilitation (MR-OFICR) Study.

Journal of community hospital internal medicine perspectives·2025
Same author

A Case of Complete Functional Myocardial Regeneration in a Human Neonate.

JACC. Case reports·2025
Same author

Contemporary prenatal diagnosis of congenital heart disease in a regional perinatal center lacking onsite pediatric cardiac surgery: obstetrical and neonatal outcomes.

Journal of perinatal medicine·2024
Same author

Double Outlet Left Ventricle with Intact Ventricular Septum: A Rare Prenatally Diagnosed Case Report.

Fetal diagnosis and therapy·2024
Same author

Computational and Experimental Evaluation of the Stability of a GLP-1-like Peptide in Ethanol-Water Mixtures.

Pharmaceutics·2022
Same author

Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association.

Antibodies (Basel, Switzerland)·2022

Related Experiment Video

Updated: Feb 12, 2026

Generation of Prostate Cancer Cell Models of Resistance to the Anti-mitotic Agent Docetaxel
06:44

Generation of Prostate Cancer Cell Models of Resistance to the Anti-mitotic Agent Docetaxel

Published on: September 8, 2017

14.0K

Derivation of Continuum Models from An Agent-based Cancer Model: Optimization and Sensitivity Analysis.

Dimitrios Voulgarelis1,2, Ajoy Velayudhan3, Frank Smith2

  • 1Centre for Mathematics, Physics and Engineering in the Life Sciences and Experimental Biology, UCL, Physics Building, Gower Pl, London, WC1E 6BT, United Kingdom.

Current Pharmaceutical Biotechnology
|March 30, 2018
PubMed
Summary

Equation-based models complement agent-based models for biological systems analysis. This study develops differential equations models for tumor cell reprogramming, enabling efficient treatment optimization and sensitivity analysis.

Keywords:
ABMCancerODESDEagent-basedoptimization.

More Related Videos

Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
14:04

Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents

Published on: March 25, 2016

15.9K
Quantitative Analysis of Cancer Metastasis using an Avian Embryo Model
08:40

Quantitative Analysis of Cancer Metastasis using an Avian Embryo Model

Published on: May 30, 2011

19.7K

Related Experiment Videos

Last Updated: Feb 12, 2026

Generation of Prostate Cancer Cell Models of Resistance to the Anti-mitotic Agent Docetaxel
06:44

Generation of Prostate Cancer Cell Models of Resistance to the Anti-mitotic Agent Docetaxel

Published on: September 8, 2017

14.0K
Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
14:04

Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents

Published on: March 25, 2016

15.9K
Quantitative Analysis of Cancer Metastasis using an Avian Embryo Model
08:40

Quantitative Analysis of Cancer Metastasis using an Avian Embryo Model

Published on: May 30, 2011

19.7K

Area of Science:

  • Computational Biology
  • Mathematical Modeling
  • Systems Biology

Background:

  • Agent-based models (ABMs) excel at simulating complex biological systems but require significant computational resources.
  • Equation-based models (EBMs) offer faster analysis for complex systems.
  • Bridging ABMs and EBMs is crucial for efficient biological system analysis.

Purpose of the Study:

  • To develop ordinary differential equations (ODEs) and stochastic differential equations (SDEs) models mirroring an existing ABM of tumor cell reprogramming.
  • To apply these EBMs for optimizing cancer treatment strategies.
  • To perform dosage sensitivity analysis for identified treatments.

Main Methods:

  • Formulation of ODE and SDE models based on an established ABM.
  • Parameter space exploration to identify conditions where EBMs closely approximate ABM behavior.
  • Application of EBMs for treatment optimization and sensitivity analysis.

Main Results:

  • Achieved close agreement between EBMs and ABMs for specific parameter ranges.
  • Demonstrated the utility of EBMs for treatment optimization and dosage sensitivity analysis.
  • Highlighted the complementary strengths of ABMs and EBMs.

Conclusions:

  • EBMs can effectively capture the behavior of complex biological systems, like tumor cell reprogramming, when calibrated with ABM data.
  • A hybrid approach, leveraging the strengths of both ABMs and EBMs, is advantageous for biological system analysis and therapeutic development.
  • This work supports the efficient exploration of treatment strategies and dosage sensitivities in cancer research.