STEVEN BREM

Professor

Hospital of the University of Pennsylvania

United States

Research Interests

Explore related searches

Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Steven Brem is a faculty member at the Hospital of the University of Pennsylvania, USA. His research focuses on the use of advanced imaging techniques and machine learning to improve the diagnosis and treatment of glioblastoma and other brain tumors. Recent publications include studies on multiparametric MRI for response assessment, as well as novel treatment approaches involving vagus nerve stimulation and immunotherapy. He continues to contribute significantly to the field of neuro-oncology through his innovative research endeavors.

Articles (16)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (4)

Raquel Yokoda

Assistant Professor of Pathology

Montefiore Medical Center

UNITED STATES

View details

SANJEEV CHAWLA, PhD, DABMP

Research Assistant Professor

University of Pennsylvania

UNITED STATES

View details

DENIS MIGLIORINI

Assistant Professor

University of Geneva

SWITZERLAND

View details

Suyash Mohan

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

STEVEN BREM

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Response Assessment in Long-Term Glioblastoma Survivors Using a Multiparametric MRI-Based Prediction Model

Repeated peripheral infusions of anti-EGFRvIII CAR T cells in combination with pembrolizumab show no efficacy in glioblastoma: a phase 1 trial

Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases

Commentary: Resting State Functional Networks in Gliomas: Validation With Direct Electric Stimulation Using a New Tool for Planning Brain Resections

Vagus nerve stimulation: Novel concept for the treatment of glioblastoma and solid cancers by cytokine (interleukin-6) reduction, attenuating the SASP, enhancing tumor immunity

Distinction of pseudoprogression from true progression in glioblastomas using machine learning based on multiparametric magnetic resonance imaging and O6-methylguanine-methyltransferase promoter methylation status

Taming Glioblastoma in “Real Time”: Integrating Multimodal Advanced Neuroimaging/AI Tools Towards Creating a Robust and Therapy Agnostic Model for Response Assessment in Neuro-Oncology

Targeting the IL4 receptor with MDNA55 in patients with recurrent glioblastoma: Results of a phase IIb trial

Brain network mapping and glioma pathophysiology

Mismatch repair protein mutations in isocitrate dehydrogenase (IDH)-mutant astrocytoma and IDH-wild-type glioblastoma

Commentary: Complementary and Alternative Medicine for Gliomas: Systematic Review and Critical Appraisal of Current Literature

Risk of intracranial hemorrhage with direct oral anticoagulants vs low molecular weight heparin in glioblastoma: A retrospective cohort study

Commentary: “Zooming in” on Glioblastoma: Understanding Tumor Heterogeneity and Its Clinical Implications in the Era of Single-Cell Ribonucleic Acid Sequencing

Withdrawn as duplicate: Commentary: "Zooming in" on Glioblastoma: Understanding Tumor Heterogeneity and its Clinical Implications in the Era of Single-Cell Ribonucleic Acid Sequencing

Modified RANO, Immunotherapy RANO, and Standard RANO Response to Convection-Enhanced Delivery of IL4R-Targeted Immunotoxin MDNA55 in Recurrent Glioblastoma

Commentary: 5-Aminolevulinic Acid and Contrast-Enhanced Ultrasound: The Combination of the 2 Techniques to Optimize the Extent of Resection in Glioblastoma Surgery

Collaborators (4)

Raquel Yokoda

SANJEEV CHAWLA, PhD, DABMP

DENIS MIGLIORINI

Suyash Mohan

Make your next move.