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Terminated, withdrawn and suspended trials with the reason the sponsor gave in the registry, quoted word for word.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

  Probiotics and Insulin Resistance in Obese Asthmatics

  NCT05949255· University of Alabama at Birmingham· Updated 5 Nov 2026

  “Lost coordinator and statistician before no cost extension study could be completed.”Registry text, quoted unchanged. Source

• Suspended

  The Impact of Continuous Glucose Monitoring on Glucose Variability and Weight Loss in Individuals With Prediabetes and Obesity

  NCT07423065· University of Primorska· Updated 4 Nov 2026

  “The study has been temporarily suspended pending approval from the Slovenian Agency for Medicinal Products and Medical Devices (JAZMP). The need for this additional regulatory approval was identified following communication with JAZMP.”Registry text, quoted unchanged. Source

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

• A Study to Learn About Switching to a Monthly Study Medicine Called Berobenatide (PF-08653944) to Help Keep Weight Off in People With Overweight or Obesity

  NCT07845500· Pfizer· Source

• A Study to Evaluate the Effects of Enicepatide in Participants With Obesity or Overweight, With or Without Type 2 Diabetes

  NCT07670416· Hoffmann-La Roche· Source

• A Study to Learn About the Study Medicine Called PF-08653944 Taken Once-Weekly Compared to Placebo in Chinese Adults With Overweight or Obesity

  NCT07792954· Pfizer· Source

• A Study to Learn About the Study Medicine Called Berobenatide (PF-08653944) in People With Overweight or Obesity

  NCT07595549· Pfizer· Source

• A Study of PF-08653945 and PF-08653944 in Adults With Overweight or Obesity

  NCT07575932· Pfizer· Source

• Improving Sleep Health and Circadian Timing to Support Cardiometabolic Health in Adolescents

  NCT07618117· University of Colorado, Denver· Source

• A Clinical Study Testing Enicepatide in Participants Living With Overweight or Obesity and Cardiovascular Disease

  NCT07918846· Hoffmann-La Roche· Source

• A Research Study to Investigate How Well the Medicine CagriSema Lowers High Blood Pressure in People Living With High Blood Pressure and Obesity

  NCT07919405· Novo Nordisk A/S· Source

• A Phase 2b Study to Evaluate the Efficacy and Safety of Once-Monthly MET097 in Adults With Obesity or Overweight

  NCT06973720· Pfizer· Source

• A Study to Learn About Study Medicine Called Berobenatide in Adults With Knee Pain and Overweight or Obesity (VESPER-OA 1)

  NCT07919678· Pfizer· Source

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

• Single-Cell Analysis 20
• Organoids 10
• Mendelian Randomization Analysis 178
• CRISPR-Cas Systems 7
• Gene Expression Profiling 142
• Sequence Analysis, RNA 10
• Whole Genome Sequencing 4
• Exome Sequencing 19
• Proteomics 125
• Metabolomics 190
• Mass Spectrometry 28
• Flow Cytometry 16
• Immunohistochemistry 40
• Xenograft Model Antitumor Assays 15
• Positron-Emission Tomography 25
• Magnetic Resonance Imaging 254
• Machine Learning 153
• Deep Learning 20
• Cohort Studies 1006
• Genome-Wide Association Study 201

• Development of a Multimodal Obstructive Sleep Apnea Diagnostic Prediction Model Using Two-Dimensional Facial Images and Clinical Data.

  IEEE J Biomed Health Inform, Oct 2026

• Correlation of whole-body fat content and its distribution with lumbar fat content under different age, gender and BMI conditions: quantitative analysis of MRI based on deep learning.

  BMC Musculoskelet Disord, Jul 2026

• Deep progressive learning reconstruction for fast and low-dose whole-body PET scans in an integrated PET/MR system.

  BMC Med Imaging, Jul 2026

• Deep learning analysis of ECGs detects Cardiovascular-Kidney-Metabolic syndrome burden in people with diabetes: a report from the Silesia Diabetes-Heart Project.

  Cardiovasc Diabetol, Jun 2026

• A deep-learning framework reveals whole-body perturbations at cell level.

  Nature, May 2026

• Design and validation of renal stone detection using multi-architecture feature extraction with deep sequential learning model on axial computed tomography images.

  Sci Rep, May 2026

• Incremental value of deep learning denoising in low-dose coronary CT angiography in predominantly obese patients.

  Eur J Radiol, Apr 2026

• Health Prediction Using Hybrid Deep Learning Models: A Transparent and Interpretable Approach.

  Int J Health Plann Manage, Apr 2026

• Machine and Deep Learning Models for Preoperative Prediction of Suboptimal Clinical Response One Year after Metabolic Bariatric Surgery: Findings from the Tehran Obesity Treatment Study.

  Obes Surg, Mar 2026

• Ameliorative effect of Rhus verniciflua Stokes on high-fat diet-induced obesity and advanced analysis with machine learning and deep learning-based network pharmacology.

  Life Sci, Mar 2026

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