Related Experiment Video

Updated: Jan 18, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
13:34

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

10.6K

Correction: Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy

Xiaoyan Sun1,2, Ying Jiang2

  • 1Department of Gynaecology, The People's Hospital of Liaoning Province, Shenyang, China.

Frontiers in Immunology
|September 10, 2025
PubMed
Summary

This study corrects a previously published article's DOI. The correction ensures proper citation and access to the research findings for future scientific inquiry.

Keywords:
adaptive dynamic ϵ-simulated annealing algorithm (ADϵSA)chemotherapy and immunotherapytherapeutic strategiestumor cellstumor immunotherapy (TIT)

More Related Videos

Predictive Immune Modeling of Solid Tumors08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.5K
Testing Cancer Immunotherapeutics in a Humanized Mouse Model Bearing Human Tumors15:24

Testing Cancer Immunotherapeutics in a Humanized Mouse Model Bearing Human Tumors

Published on: December 16, 2022

3.8K

Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

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.
1.8K