Back to search

Article

Enhancing Predictive Accuracy in Immunotherapy Models through Data Integration and Parameter Identifiability

2026-01-14

Abstract excerpt

Immune checkpoint inhibitors (ICIs), a class of immunotherapy, offer promising benefits but face challenges such as low response rates to be used as a broadly effective treatment for all patients. In this study, we use a set of ordinary different equation (ODE) models and bladder cancer in vivo data as a case study to outline a biologically informed, data-driven framework for formulating, calibrating and validati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5860bec1-d0bd-5126-88c7-e28948463368
DOI
10.64898/2026.01.12.699041
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Enhancing Predictive Accuracy in Immunotherapy Models through Data Integration and Parameter IdentifiabilityDOI 10.64898/2026.01.12.699041
Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancerSemantic proximity
Dynamic optimization of chemo–immunotherapy sequencing reveals phenotype-dependent regimens across tumor immune microenvironmentsSemantic proximity
Dose Regimen Optimization of PD-L1 Inhibitor and Nab-paclitaxel in Patients with NSCLC: a Quantitative Systems Pharmacology analysisSemantic proximity
Optimized patient-specific immune checkpoint inhibitors therapy for cancer treatment based on tumor immune microenvironment modelingSemantic proximity
Personalized Immunotherapy via Multiscale Tumor-Immune Modeling and Optimal ControlSemantic proximity
Modular mechanistic mathematical models for improved biomarker identification and treatment scheduling in oncologySemantic proximity
Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapySemantic proximity
Agent-Based Modeling of Virtual Tumors Reveals the Critical Influence of Microenvironmental Complexity on Immunotherapy EfficacySemantic proximity
Artificial Intelligence in Immune Checkpoint Inhibitor Research: A Bibliometric Analysis of the LandscapeSemantic proximity
A Multifactorial Model of T Cell Expansion and Durable Clinical Benefit in Response to a PD-L1 InhibitorSemantic proximity
Assessing the Role of Model Complexity in Virtual Clinical Trial OutcomesSemantic proximity
Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibitionSemantic proximity
Select a neighboring publication to make it the new centre.