ArticleHeliyon2022
A mathematical model for treatment using chemo-immunotherapy.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Continuous adaptive chemotherapy dosing by using planet-formation-inspired dynamics: analytical andFrontiers in oncology · 2026Article
- Mathematical model of optimal control for endometrial cancer with treatments dostarlimab and chemotherapy using Caputo derivative.Scientific reports · 2025Article
- Psychological Involvement in the Journey of a Patient with Localized Prostate Cancer-From Diagnosis to Treatment.Diseases (Basel, Switzerland) · 2025Article
- Effects of theGenes · 2025Article
- Gastrointestinal Cancers with Consideration of DPD and UGT1A1 Plasma Levels: Chemotherapy-Related Toxicity.Life (Basel, Switzerland) · 2025Article
- Mathematical modeling of the synergetic effect between radiotherapy and immunotherapy.Mathematical biosciences and engineering : MBE · 2025Article
- Modeling and computational study of cancer treatment with radiotherapy using real data.PloS one · 2025Article
- The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south.Frontiers in digital health · 2025Article
- MiR-301b-3p can be used as a Potential Marker for the Diagnosis of Lung Adenocarcinoma.Combinatorial chemistry & high throughput screening · 2024Article
- Heart Rate Variability Biofeedback in Cancer Patients: A Scoping Review.Behavioral sciences (Basel, Switzerland) · 2022Article
- Earlier Detection of Brain Tumor by Pre-Processing Based on Histogram Equalization with Neural Network.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we investigated a mathematical model for chemoimmunotherapy (a combination of chemotherapy and immunotherapy) for brain cancer. In most cases, the standard protocol for cancer treatment is fixed in terms of treatment time intervals and dosages. We offer a wide range of non-fixed protocols, which essentially vary in terms of time intervals and dosages (i.e., personalised medicine). The functions that describe this treatment are explicit and analytical. Hence, the parameters of the function can be easily changed and a new protocol can be obtained. We compared different protocols and obtained an optimal solution. In addition, we applied the singular perturbed vector field (SPVF) method to determine the hierarchy of the system of equations, which enabled us to identify the equilibrium points of the mathematical model and investigate their stability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.