Head and neck cancer: 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
• PD-1 69
• PD-L1 42
• TP53 7
• EGFR 33
• PI3K 6
• STAT3 1
• BRAF 0
• AKT 2
• mTOR 0
• HER2 6
• RET 0
• MAPK 0
• ERK 0
• STING 0
• PTEN 1
• TERT 0
• CTNNB1 0
• JAK 1
• CTLA-4 4
• MYC 0
• NRF2 0
• VEGF 4
• YAP 1
• HIF-1 0
• MET 3
• AMPK 0
• CLDN18 0
• IL-6 2
• JNK 0
• PARP 1
• FGFR 1
• B7-H3 5
• COX-2 0
• GPX4 0
• LAG-3 2
• TROP2 5
• EZH2 0
• MEK 0
• CD47 1
• METTL3 0
• PIK3CA 4
• CDK4/6 2
• NLRP3 0
• ATM 0
• PKM2 0
• TNF 0
• FAK 0
• MMP-9 0
• PPAR 0
• PSMA 1
• TLR4 0
• BCL-2 0
• HSP90 0
• KRAS 0
• NOTCH1 0
• NTRK 1
• ALK 0
• CD40 1
• CXCR4 0
• HER3 4

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

• Single-Cell Analysis 84
• Organoids 23
• Mendelian Randomization Analysis 49
• CRISPR-Cas Systems 13
• Gene Expression Profiling 243
• Sequence Analysis, RNA 26
• Whole Genome Sequencing 7
• Exome Sequencing 22
• Proteomics 64
• Metabolomics 43
• Mass Spectrometry 14
• Flow Cytometry 56
• Immunohistochemistry 332
• Liquid Biopsy 34
• Circulating Tumor DNA 57
• Xenograft Model Antitumor Assays 306
• Positron-Emission Tomography 83
• Magnetic Resonance Imaging 274
• Machine Learning 232
• Deep Learning 186
• Cohort Studies 296
• Genome-Wide Association Study 55

• Synthetic MRI from radiotherapy planning CT images for Head-and-Neck Cancer.

  J Appl Clin Med Phys, Nov 2026

• Reliability-weighted patch learning for synthetic CT reconstruction in head and neck adaptive radiotherapy: A proof-of-concept study.

  Med Phys, Nov 2026

• Deep Learning-Assisted SERS of Fine-Needle Aspiration Washout Fluid for Preoperative Papillary Thyroid Carcinoma Diagnosis and Lymph Node Metastasis Prediction.

  Int J Nanomedicine, Oct 2026

• 3D SE-ResUNet for accurate dose prediction in head and neck IMRT: a structure-specific ensemble approach.

  Biomed Phys Eng Express, Oct 2026

• Research on precise segmentation model of thyroid nodules based on deep learning.

  PLoS One, Oct 2026

• Deep learning prediction of radiation-induced xerostomia and personalized outcome-driven treatment planning in head and neck cancer.

  Phys Med Biol, Oct 2026

• Clinical evaluation and regression test of a commercial deep-learning auto-segmentation model.

  J Appl Clin Med Phys, Oct 2026

• Prediction of gross extrathyroidal extension in papillary thyroid carcinoma using a deep learning radiomics model based on post-processing techniques for multi-phase contrast-enhanced MRI images.

  Front Endocrinol (Lausanne), Sept 2026

• Ultrasound-Based Radiomics and Deep Learning for Prediction of Lateral and Central Lymph Node Metastasis and BRAF Gene Mutation in Papillary Thyroid Carcinoma.

  Technol Cancer Res Treat, Sept 2026

• Applying a pretrained DL-based IMPT planning workflow in an external center: A feasibility study in oropharyngeal cancer.

  Radiother Oncol, Sept 2026

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