Stockholm, Sweden
Research view
Lupus (SLE): who works on it
Groups that published on this disease or run trials on it, from public registries and publications. Researchers appear by name only once their profile is published.
Find fellow researchers
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.
Beijing, China
Paris, France
Toronto, Canada
Cambridge, United States
Stockholm, Sweden
Shanghai, China
Beijing, China
London, United Kingdom
Paris, France
Baltimore, United States
Hangzhou, China
San Francisco, United States
Hangzhou, China
Philadelphia, United States
Melbourne, Australia
Boston, United States
Changsha, China
Moscow, Russia
Birmingham, United States
Toronto, Canada
Athens, Greece
Giza, Egypt
Paris, France
24 of 200+ institutions, ordered by recent publications and open trials. This is not a ranking of quality.
Who stopped a trial, and why
Terminated, withdrawn and suspended trials with the reason the sponsor gave in the registry, quoted word for word.
No stopped trial with a stated reason in this view.
Trials that share participant data
Trials whose registry record says individual participant data (IPD) will be shared.
Search by method
Find publications on this disease by a MeSH method term, for example a sequencing or imaging method.
- Single-Cell Analysis 33
- Mendelian Randomization Analysis 41
- CRISPR-Cas Systems 1
- Gene Expression Profiling 100
- Sequence Analysis, RNA 5
- Whole Genome Sequencing 1
- Exome Sequencing 5
- Proteomics 35
- Metabolomics 22
- Mass Spectrometry 5
- Flow Cytometry 35
- Immunohistochemistry 8
- Liquid Biopsy 2
- Positron-Emission Tomography 4
- Magnetic Resonance Imaging 49
- Machine Learning 37
- Deep Learning 3
- Cohort Studies 111
- Genome-Wide Association Study 54
A machine learning framework for the multi-class prediction of suicide attempt risk.
[Prediction Model of Systemic Lupus Erythematosus Based on Machine Learning Algorithms].
Network-based machine learning to identify biomarkers for systemic lupus erythematosus.
Development of a LASSO-based machine learning model for relapse prediction in lupus nephritis.
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See which targets of this disease your abstract mentions, and go to the people working on them.
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Sources: ClinicalTrials.gov, EU CTR, OpenAlex, PubMed. Machine-matched links are labelled.