Schizophrenia: 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
• NMDA 9
• BDNF 0
• GLP-1 1
• mTOR 0
• AKT 0
• PI3K 0
• TNF 0
• ERK 0
• IL-6 0
• NLRP3 0
• PPAR 0
• NRF2 0
• AMPK 0
• IL-17 0
• IL-23 1
• MAPK 0
• MAPT 0
• BACE1 0
• BCL-2 0
• C9orf72 0
• CD20 0
• COX-2 0
• DMD 0
• EGFR 0
• FOXP3 0
• FTO 0
• HMGB1 0
• IDO1 0
• IL-1 0
• JAK 0
• MMP-9 0
• PCSK9 0
• PDE4 0
• SCN2A 0
• SGLT2 0
• SIRT1 0
• STAT3 0
• TFEB 0
• TREM2 0
• VEGF 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 8
• Organoids 4
• Mendelian Randomization Analysis 69
• CRISPR-Cas Systems 2
• Gene Expression Profiling 44
• Sequence Analysis, RNA 1
• Whole Genome Sequencing 3
• Exome Sequencing 4
• Proteomics 30
• Metabolomics 24
• Mass Spectrometry 7
• Flow Cytometry 1
• Immunohistochemistry 8
• Positron-Emission Tomography 30
• Magnetic Resonance Imaging 380
• Machine Learning 80
• Deep Learning 17
• Cohort Studies 169
• Genome-Wide Association Study 173

• Characterizing altered cardiac autonomic dynamics in psychotic disorders through multidomain heart rate variability analysis and deep learning.

  Biomed Phys Eng Express, Oct 2026

• From voxels to models: a multi-center voxel-based morphometry study identifying robust biomarkers for deep learning classification of schizophrenia.

  Brain Imaging Behav, Oct 2026

• End-to-end deep learning methods for genetic risk prediction of schizophrenia.

  Nat Commun, Sept 2026

• Explainable spatio-temporal transformers for schizophrenia classification and activity analysis from functional MRI.

  Comput Methods Programs Biomed, Aug 2026

• Using AI to Detect Psychosis Relapse: Scoping Review.

  JMIR Ment Health, Jun 2026

• Decision processes in 3D structural MRI schizophrenia classification evaluated with saliency maps.

  Sci Rep, Jun 2026

• Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks.

  Sci Rep, Jun 2026

• A survey of deep learning techniques in detecting neurological disorders using MRI.

  Biomed Eng Online, May 2026

• Classification of functional near-infrared spectroscopy (fNIRS) signals in schizophrenia and bipolar disorder using deep learning methods.

  Psychiatry Res, Mar 2026

• Deep Learning-Based Structural Brain Age Estimation in Bipolar Disorder and Schizophrenia: A Single-Site Pilot Study.

  Hum Brain Mapp, Feb 2026

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