Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
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Updated
Mar 20, 2024 - MATLAB
Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Analysis associated with the publication, "Change in neutrophil to lymphocyte ratio during immunotherapy treatment is a non-linear predictor of patient outcomes in advanced cancers" DOI : 10.1007/s00432-019-02982-4
Analysis of single-cell RNA-seq data from patients with immunotherapy-related myocarditis.
This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.
Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients
Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
analysis related to the FITNESS Study at OSU
Classification task on Immunotherapy data set
Wart Immunotherapy Prediction is a medical decision support system that helps doctors to decide whether Immunotherapy is the right treatment method for their patients.
Discrete Event Simulation | Queue Modeling | Bayesian Optimization | Full Factorial Design. "Design and Operation of Individualized Single-use Systems: Car-T Cell Therapy". Modeling Single-use systems using stochastic optimization techniques.
T-cell receptor specificity prediction using Deep Learning
Executable of trained model presented in Boll&Vázquez Montes de Oca et al. (unpublished).
Calculate and explore property indices of peptides for cancer immunotherapy study
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Code and data to support doi:10.1136/jitc-2020-001506
Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
An example of immunopipe
Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF
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