Glioblastoma: who works on it

One card per institution. Filter by target, by country, or show only institutions in EU-13 (Horizon Europe widening) countries.

• All targets
• MGMT 20
• EGFR 13
• IDH 10
• STAT3 3
• TP53 0
• AKT 0
• mTOR 1
• PI3K 1
• PD-1 7
• ERK 0
• PD-L1 5
• STING 0
• YAP 0
• B7-H3 7
• MAPK 0
• PARP 1
• CTNNB1 0
• PTEN 1
• VEGF 5
• AMPK 0
• BRAF 1
• TERT 3
• FGFR 1
• PRMT5 5
• CDK4/6 0
• HDAC 0
• HIF-1 1
• IL-6 0
• NRF2 0
• PSMA 4
• MYC 2
• COX-2 0
• CXCR4 0
• EZH2 0
• CD47 0
• HER2 2
• JAK 0
• MEK 0
• MET 1
• METTL3 0
• TLR4 0
• ATM 2
• GPX4 0
• MDM2 0
• BCL-2 0
• CDKN2A 0
• CTLA-4 0
• FAK 0
• HSP90 0
• JNK 0
• MMP-9 1
• TNF 0
• CD19 0
• NF1 1
• NTRK 1
• TREM2 0
• AR 0
• CD40 1
• HMGB1 0
• IDO1 0

EU-13 is a filter, not a ranking: it only narrows the list.

No research groups match this view yet.

Trials whose registry record says individual participant data (IPD) will be shared.

No trial in this view states that it shares participant data.

Find publications on this disease by a MeSH method term, for example a sequencing or imaging method.

• Single-Cell Analysis 93
• Organoids 33
• Mendelian Randomization Analysis 14
• CRISPR-Cas Systems 11
• Gene Expression Profiling 150
• Sequence Analysis, RNA 10
• Exome Sequencing 2
• Proteomics 47
• Metabolomics 21
• Mass Spectrometry 9
• Flow Cytometry 16
• Immunohistochemistry 22
• Liquid Biopsy 10
• Circulating Tumor DNA 3
• Xenograft Model Antitumor Assays 226
• Positron-Emission Tomography 37
• Magnetic Resonance Imaging 233
• Machine Learning 265
• Deep Learning 43
• Cohort Studies 54
• Genome-Wide Association Study 13

• Impact of multisequence MRI on deep learning-based dose prediction for glioblastoma radiotherapy: A comparative evaluation of CT-only and CT+MRI models.

  Radiography (Lond), Oct 2026

• Full Spectrum Raman Spectroscopy Combined With Deep Learning for Prediction of Tensile Mechanical Properties of Human Cortical Bone.

  J Biophotonics, Oct 2026

• AI-Driven Quantitative Analysis of Pathological Images for Membranous Nephropathy Across Macro and Micro Modalities.

  IEEE J Biomed Health Inform, Oct 2026

• GOAT-NET model: Glioma-Oligodendro astrocytoma tumor network model based on the optimization-based few-shot learning technique.

  Exp Neurol, Sept 2026

• A coarse-to-fine framework combining deep learning and Monte Carlo for BNCT patient position optimization toward inverse planning.

  Med Phys, Sept 2026

• A multi-task deep learning framework incorporating tumor morphology for MRI-based MGMT methylation prediction in glioblastoma.

  BMC Med Imaging, Aug 2026

• MoESurv: a zero-sample and transferable survival prediction framework for rare cancers using mixture of experts.

  Bioinformatics, Aug 2026

• scDAU: a disentangled representation learning method for cross-modal translation in single-cell multi-omics data.

  Bioinformatics, Aug 2026

• Deep Learning-Based Multimodal Fusion of Whole-Slide Images and RNA Sequencing Identifies Survival-Relevant Glioblastoma Clusters.

  Cancer Med, Aug 2026

• Risk stratification of IDH-wildtype glioblastoma: Deep learning on histopathology images and biological interpretation.

  Eur J Surg Oncol, Jul 2026

See which targets of this disease your abstract mentions, and go to the people working on them.