J. H. Oh

Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival

This study uses gene interaction network analysis in multiple myeloma to identify immune-related genes associated with shorter survival.

Inducing an oxidized redox-balance improves anti-tumor CD8+ T cell function

This study shows that inducing an oxidized redox balance in CD8+ T cells enhances their anti-tumor function in vivo through increased mitochondrial ROS.

Geometric Network Analysis Provides Prognostic Information in Patients with High Grade Serous Carcinoma of the Ovary Treated with Immune Checkpoint Inhibitors

This paper introduces a network curvature-based method to predict prognosis in high-grade serous ovarian cancer patients treated with immune checkpoint inhibitors using copy number alterations.

Entelon(R) (vitis vinifera seed extract) reduces inflammation and calcification in a beagle dog model of intravascular bovine pericardium implantation

This study evaluates the anti-inflammatory and anti-calcification effects of Entelon150(R) in a beagle dog model of bovine pericardium implantation, finding reduced calcium content and inflammation.

Reproducibility test of radiomics using network analysis and Wasserstein K-means algorithm

This paper develops a network-based method to identify reproducible radiomic features across different imaging settings and validates it using phantom and external datasets.

Anatomically Informed 3D Printed CT phantoms: The First Step of a Pipeline To Identify Robust Quantitative Radiomic Features

This paper demonstrates the feasibility of creating 3D printed CT phantoms from patient data to assess the repeatability and robustness of radiomic features across different scanning parameters.

Serum Alpha-2-Macroglobulin as an intrinsic radioprotective factor in patients undergoing thoracic radiation therapy

This study investigates the association between baseline alpha-2-macroglobulin levels and radiation-induced toxicities in thoracic radiotherapy patients, finding a link with esophagitis and developing predictive models for toxicity.

Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network Approach

The paper uses a geometric network approach to analyze drug response in cancer cell lines, linking network robustness to drug sensitivity and identifying genomic biomarkers.