Ovarian 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
• BRCA1 20
• BRCA2 13
• PARP 27
• TP53 6
• PD-1 12
• AKT 2
• HER2 16
• PD-L1 7
• PI3K 3
• STAT3 1
• mTOR 0
• VEGF 6
• KRAS 6
• EGFR 3
• PTEN 2
• CTNNB1 0
• FAK 1
• MAPK 0
• MYC 0
• NRF2 0
• CTLA-4 6
• ERK 1
• JAK 0
• STING 0
• GPX4 0
• HIF-1 0
• MEK 1
• TROP2 4
• PALB2 5
• B7-H3 7
• CDK4/6 4
• ATM 1
• CD47 0
• IL-6 0
• EZH2 1
• JNK 0
• PIK3CA 3
• YAP 0
• BCL-2 0
• BRAF 4
• CXCR4 0
• HDAC 0
• PPAR 0
• AMPK 0
• ARID1A 3
• AXL 1
• COX-2 2
• NMDA 0
• TIGIT 0
• AR 0
• CD40 1
• HER3 1
• HMGB1 0
• KEAP1 1
• METTL3 0
• RAS 0
• TLR4 0
• FGFR 0
• PINK1 0
• PKM2 0

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

6 of 6+ institutions, ordered by recent publications and open trials. This is not a ranking of quality.

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

• A Study of Tazemetostat in Adult Participants With Soft Tissue Sarcoma

  NCT02601950· Epizyme, Inc.· Source

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

• Single-Cell Analysis 48
• Organoids 19
• Mendelian Randomization Analysis 29
• CRISPR-Cas Systems 15
• Gene Expression Profiling 126
• Sequence Analysis, RNA 11
• Whole Genome Sequencing 6
• Exome Sequencing 11
• Proteomics 62
• Metabolomics 17
• Mass Spectrometry 6
• Flow Cytometry 26
• Immunohistochemistry 95
• Liquid Biopsy 15
• Circulating Tumor DNA 13
• Xenograft Model Antitumor Assays 234
• Positron-Emission Tomography 9
• Magnetic Resonance Imaging 57
• Machine Learning 60
• Deep Learning 35
• Cohort Studies 104
• Genome-Wide Association Study 26

• Deep Learning of Position-Aligned Dynamic Cell Deformation Trajectories for Ovarian Cell Phenotyping in Hyperbolic Microchannels.

  Anal Chem, Oct 2026

• HRDPath: an explainable multi-model deep learning architecture for predicting homologous recombination deficiency from histopathology images.

  Nat Commun, Oct 2026

• iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data.

  PLoS Comput Biol, Aug 2026

• STL-DeepBDC: A Robust Few-Shot Learning Framework for Multiclass Ovarian Tumor Classification in Ultrasound Outperforms Conventional Transfer Learning.

  Cancer Med, Aug 2026

• [Medical prior-guided TabMap deep learning model for ovarian cancer prediction and interpretability analysis].

  Nan Fang Yi Ke Da Xue Xue Bao, Jul 2026

• Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature.

  Adv Sci (Weinh), Jul 2026

• Real-time intraoperative identification of malignant ovarian tumors using deep learning of clinical gross specimen images.

  Taiwan J Obstet Gynecol, Jul 2026

• Temporal deep learning for 28-day mortality prediction in critically ill ovarian cancer patients: a multicenter development and validation study using hourly vital signs.

  J Ovarian Res, Jun 2026

• Deep learning of pretreatment ascites cytopathology for platinum-resistance risk stratification in advanced epithelial ovarian cancer.

  Neoplasia, Jun 2026

• Deep learning-based prediction of gene expression from histopathology identifies NR5A1 as a candidate biomarker and druggable target in high-grade serous ovarian carcinoma.

  J Ovarian Res, Jun 2026

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