Depression: who works on it

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

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

24 of 200+ institutions, ordered by recent publications and open trials. This is not a ranking of quality.

Terminated, withdrawn and suspended trials with the reason the sponsor gave in the registry, quoted word for word.

• Terminated

  Intensified Pharmacological Treatment for Schizophrenia, Major Depressive Disorder and Bipolar Depression After a First-time Treatment Failure

  NCT05603104· Dr. Inge Winter· Updated 5 Nov 2026

  “The site in Israel stopped recruitment due to logistic reasons. Other sites are recruiting for 2023-506602-39-00, 2023-506605-19-00, 2023-506617-21-00.”Registry text, quoted unchanged. Source

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

• Digital Interventions for Relapse Prevention in Adolescence

  NCT07346911· University of Oslo· Source

• Intensified Pharmacological Treatment for Schizophrenia, Major Depressive Disorder and Bipolar Depression After a First-time Treatment Failure

  NCT05603104· Dr. Inge Winter· Source

• Neural Circuit Effects of Ketamine in Depression

  NCT06213324· Icahn School of Medicine at Mount Sinai· Source

• A Study of Brenipatide in Adult Participants With Major Depressive Disorder

  NCT07412756· Eli Lilly and Company· Source

• A Study of Brenipatide (LY3537031) in Adult Participants With Major Depressive Disorder

  NCT07775300· Eli Lilly and Company· Source

• A Study of Seltorexant as Monotherapy in Adults and Elderly Participants With Major Depressive Disorder

  NCT07573176· Janssen Research & Development, LLC· Source

• A Study of Esketamine Nasal Spray Versus Placebo Spray in Adult Participants With Treatment-resistant Depression

  NCT07716098· Janssen Research & Development, LLC· Source

• Phase 3 Study of Adjunctive Treatment With Seltorexant in Adult and Elderly Participants With Major Depressive Disorder and Insomnia Symptoms

  NCT06559306· Janssen Research & Development, LLC· Source

• Natural History of Depression, Bipolar Disorder and Suicide Risk

  NCT06462196· National Institute of Mental Health (NIMH)· Source

• A Study of Lumateperone Versus Placebo in Participants With Major Depressive Disorder

  NCT07747389· Intra-Cellular Therapies, Inc.· Source

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

• Single-Cell Analysis 14
• Mendelian Randomization Analysis 82
• CRISPR-Cas Systems 1
• Gene Expression Profiling 60
• Sequence Analysis, RNA 4
• Whole Genome Sequencing 1
• Exome Sequencing 4
• Proteomics 25
• Metabolomics 21
• Mass Spectrometry 2
• Flow Cytometry 1
• Immunohistochemistry 1
• Positron-Emission Tomography 25
• Magnetic Resonance Imaging 452
• Machine Learning 106
• Deep Learning 20
• Cohort Studies 125
• Genome-Wide Association Study 147

• Domain adversarial transfer graph deep learning: A cross-site MDD fMRI data analysis framework.

  Psychiatry Res Neuroimaging, Aug 2026

• Capturing omega sign in the clinical assessment of depression by deep learning.

  Transl Psychiatry, Jul 2026

• Speech as a biomarker for supported diagnosis of major depressive disorder using self-supervised representations.

  Nat Commun, Jun 2026

• Week-ahead prediction of depressive episodes using wearable-derived circadian biomarkers: A multicenter deep learning study with risk-based operating thresholds.

  J Affect Disord, Jun 2026

• Neural Responses to Affective Sentences Reveal Signatures of Depression.

  Transl Psychiatry, May 2026

• Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning.

  PLoS One, May 2026

• Deep learning-based differential diagnosis of major depression and bipolar disorder using microglia-cellular sensors and patient-derived small extracellular vesicles.

  Sci Rep, Apr 2026

• 3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data.

  Sci Rep, Mar 2026

• Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.

  Transl Psychiatry, Feb 2026

• MS-STFNN: A multi-scale spatio-temporal fusion neural network for fMRI-based depression diagnosis.

  Neural Netw, Feb 2026

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