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

Tumor Immunotherapy01:27

Tumor Immunotherapy

2.2K
Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
2.2K
Cancer Vaccines01:30

Cancer Vaccines

1.3K
Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
1.3K
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

17.3K
T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
17.3K

You might also read

Related Articles

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

Sort by
Same author

Simulating Cancer Recurrence Patterns From Post-Treatment Viable Tumor Burden Distributions.

JCO clinical cancer informatics·2026
Same author

Exploring the need for a social prescribing pathway in an Australian paediatric allied healthcare intake service: a pilot feasibility and acceptability study.

Frontiers in public health·2026
Same author

The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.

Physics in medicine and biology·2026
Same author

Cancer-selective photoimmunotherapy spares T cells and NK cells and promotes antitumor immunity in an allogeneic human 3D culture model.

Photochemistry and photobiology·2026
Same author

Gompertz growth with a shared carrying capacity optimally simulates primary and metastatic tumor growth dynamics.

British journal of cancer·2026
Same author

External Validation of the Proliferation Saturation Index Model in Predicting Tumor Volume Regression in Patients With Non-Small Cell Lung Cancer Undergoing Radiation Therapy.

International journal of radiation oncology, biology, physics·2026

Related Experiment Video

Updated: Mar 29, 2026

Novel Protocol for Generating Physiologic Immunogenic Dendritic Cells
12:08

Novel Protocol for Generating Physiologic Immunogenic Dendritic Cells

Published on: May 17, 2019

9.8K

From concept to clinic: Mathematically informed immunotherapy.

Rachel Walker, Heiko Enderling

    Current Problems in Cancer
    |December 10, 2015
    PubMed
    Summary

    Mathematical models are crucial for advancing innovative treatments from concept to clinic. Interdisciplinary collaboration is key to developing personalized immunotherapies and optimizing clinical trials for better patient outcomes.

    Area of Science:

    • Translational medicine
    • Computational biology
    • Mathematical oncology

    Background:

    • Innovative treatments require a bridge between theoretical concepts and clinical application.
    • Current clinical trial development can benefit from quantitative approaches to hypotheses.
    • Interdisciplinary collaboration is vital for translating scientific discoveries into practice.

    Purpose of the Study:

    • To highlight the essential role of mathematical modeling in advancing novel therapies.
    • To emphasize the necessity of collaboration between diverse scientific and clinical experts.
    • To underscore the potential for mathematical models to optimize immunotherapeutic protocols.

    Main Methods:

    • Utilizing experimentally calibrated mathematical models.

    More Related Videos

    Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
    06:32

    Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

    Published on: August 18, 2023

    3.3K
    Experimental Melanoma Immunotherapy Model Using Tumor Vaccination with a Hematopoietic Cytokine
    09:15

    Experimental Melanoma Immunotherapy Model Using Tumor Vaccination with a Hematopoietic Cytokine

    Published on: February 24, 2023

    4.2K

    Related Experiment Videos

    Last Updated: Mar 29, 2026

    Novel Protocol for Generating Physiologic Immunogenic Dendritic Cells
    12:08

    Novel Protocol for Generating Physiologic Immunogenic Dendritic Cells

    Published on: May 17, 2019

    9.8K
    Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
    06:32

    Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

    Published on: August 18, 2023

    3.3K
    Experimental Melanoma Immunotherapy Model Using Tumor Vaccination with a Hematopoietic Cytokine
    09:15

    Experimental Melanoma Immunotherapy Model Using Tumor Vaccination with a Hematopoietic Cytokine

    Published on: February 24, 2023

    4.2K
  • Integrating clinically motivated computational approaches.
  • Fostering collaboration between mathematicians, modelers, biologists, and clinicians.

    • Main Results:

    • Mathematical models enable the quantitative assessment of qualitative hypotheses.
    • Interdisciplinary efforts facilitate the personalization of treatment strategies.
    • Optimized dosing and scheduling of immunotherapies can be achieved.

    Conclusions:

    • Experimentally validated mathematical models are essential for translating innovative treatments to clinical practice.
    • Interdisciplinary collaboration is key to developing well-informed clinical trials.
    • Personalized and optimized immunotherapeutic protocols can improve patient outcomes.