Depresszió: ki dolgozik rajta

Intézményenként egy kártya. Válassz célpontot, és csak az azon dolgozó csoportok maradnak.

• Minden célpont
• BDNF 1
• NMDA 7
• NLRP3 0
• GLP-1 1
• IL-6 3
• TNF 0
• NRF2 0
• PPAR 0
• AMPK 0
• mTOR 0
• STAT3 0
• AKT 0
• JAK 1
• TLR4 0
• ERK 0
• IL-1 0
• PI3K 0
• AQP4 0
• HDAC 0
• HMGB1 0
• METTL3 0
• MMP-9 0
• SGLT2 0
• SIRT1 0
• VEGF 0
• BACE1 0
• C9orf72 0
• CCR5 0
• CD19 0
• CD22 0
• COX-2 0
• CTNNB1 0
• CXCR4 0
• DPP-4 0
• FOXP3 0
• HSP90 0
• IDO1 0
• IL-15 0
• IL-17 0
• IL-4 1
• MAPK 0
• MEK 0
• PARP 0
• PDGFR 0
• PINK1 0
• PRMT5 0
• RANKL 0
• SNCA 0
• STING 0
• TP53 0

Funded research projects that name this disease in their title, terms or summary and have not ended yet: who is funded, where, how much and until when. Organisations only; the funder's page has the details.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-GF

  Continuous Estrogen Monitoring Patch (EstroPatch)

  Katholieke Universiteit Leuven· Leuven, Belgium· EU contribution 321 301 EUR· until 2030. máj.· 2 countries

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  RANGE – Recombination And geNomic architecture in Genomic Erosion

  Kobenhavns Universitet· Kobenhavn, Dánia· EU contribution 247 553 EUR· until 2029. máj.

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  psiloNOVA: the new bridges by psilocybin to treat depression, from gut to brain (psilonova)

  Vilniaus Universitetas· Vilnius, Litvánia· EU contribution 181 136 EUR· until 2029. márc.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-GF

  Leveraging POPulation genetic inferences to build actionable and equitable polygenic risk SCOREs for disease predictions (POPSCORE)

  Stichting Amsterdam Umc· Amsterdam, Hollandia· EU contribution 408 708 EUR· until 2029. dec.· 3 countries

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  Internalizing Networks: Working memory, ADHD, and emotion Regulation across adolescent Development (INWARD)

  Universiteit Van Amsterdam· Amsterdam, Hollandia· EU contribution 217 076 EUR· until 2028. nov.

  The disease is named only in the funder's project summary, not in the title.

5 of 108 running projects, newest first. Listed amounts together: 308,8 M EUR.

Sources: NIH RePORTER (U.S. National Institutes of Health, public domain) and CORDIS (European Commission, CC BY 4.0). Changes: filtered by disease, organisations matched to ROR.

Vizsgálatok, amelyek regiszteradata szerint az egyéni résztvevői adatokat (IPD) megosztják.

Ebben a nézetben egy vizsgálat sem jelzi, hogy megosztaná a résztvevői adatokat.

Publikációk erről a betegségről egy MeSH-módszerkifejezés szerint, például szekvenálási vagy képalkotó módszerre.

• Single-Cell Analysis 15
• Mendelian Randomization Analysis 84
• CRISPR-Cas Systems 1
• Gene Expression Profiling 60
• Sequence Analysis, RNA 4
• Whole Genome Sequencing 1
• Exome Sequencing 4
• Proteomics 26
• Metabolomics 21
• Mass Spectrometry 2
• Flow Cytometry 1
• Immunohistochemistry 1
• Positron-Emission Tomography 25
• Magnetic Resonance Imaging 458
• Machine Learning 106
• Deep Learning 20
• Cohort Studies 126
• Genome-Wide Association Study 149

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

  Psychiatry Res Neuroimaging, 2026. aug.

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

  Transl Psychiatry, 2026. júl.

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

  Nat Commun, 2026. jún.

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

  J Affect Disord, 2026. jún.

• Neural Responses to Affective Sentences Reveal Signatures of Depression.

  Transl Psychiatry, 2026. máj.

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

  PLoS One, 2026. máj.

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

  Sci Rep, 2026. ápr.

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

  Sci Rep, 2026. márc.

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

  Transl Psychiatry, 2026. febr.

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

  Neural Netw, 2026. febr.

Megmutatjuk, a betegség mely célpontjait említi az absztrakt, és onnan a rajtuk dolgozókhoz jutsz.