Heart failure: 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
• SGLT2 29
• GLP-1 6
• TTR 10
• AMPK 0
• NLRP3 0
• NRF2 0
• PI3K 0
• PPAR 0
• AKT 0
• mTOR 0
• HER2 2
• STAT3 0
• TP53 0
• MAPK 0
• SIRT1 0
• STING 0
• EGFR 0
• GIP 4
• HIF-1 0
• PCSK9 0
• DPP-4 0
• VEGF 0
• HMGB1 0
• IL-6 0
• CTNNB1 0
• TNF 0
• YAP 0
• PINK1 0
• ERK 0
• GPX4 0
• JAK 0
• TLR4 0
• IL-1 0
• JNK 0
• MEK 1
• HSP90 0
• DMD 0
• IL-17 0
• MMP-9 0
• PD-1 0
• CD40 0
• COX-2 0
• HDAC 0
• PD-L1 0
• TFEB 0
• ABL1 0
• APOE 0
• AR 0
• BCL-2 0
• FTO 0
• METTL3 0
• MYC 0
• PTEN 0
• ACE2 0
• BDNF 0
• BRAF 0
• BRD4 0
• BTK 0
• CDK4/6 0
• FAK 0

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

1 of 1+ 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Terminated, withdrawn and suspended trials with the reason the sponsor gave in the registry, quoted word for word.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

  HER2HEART-US: Prevention of Cardiotoxicity in Breast Cancer Patients Receiving HER2-directed Therapy

  NCT06844669· Washington University School of Medicine· Updated 13 May 2026

  “Futility”Registry text, quoted unchanged. Source

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

• HER2HEART-US: Prevention of Cardiotoxicity in Breast Cancer Patients Receiving HER2-directed Therapy

  NCT06844669· Washington University School of Medicine· Source

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

• Single-Cell Analysis 17
• Organoids 5
• Mendelian Randomization Analysis 78
• CRISPR-Cas Systems 7
• Gene Expression Profiling 71
• Sequence Analysis, RNA 1
• Whole Genome Sequencing 2
• Exome Sequencing 10
• Proteomics 107
• Metabolomics 64
• Mass Spectrometry 5
• Flow Cytometry 10
• Immunohistochemistry 13
• Xenograft Model Antitumor Assays 2
• Positron-Emission Tomography 37
• Magnetic Resonance Imaging 154
• Machine Learning 195
• Deep Learning 40
• Cohort Studies 495
• Genome-Wide Association Study 74

• Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data.

  JMIR Med Inform, Aug 2026

• Deep learning prediction of left atrial structure and function from 12-lead electrocardiograms.

  Nat Commun, Jul 2026

• Evaluating bias in target trial emulation for heart failure across statistical and deep learning methods.

  Nat Commun, Jul 2026

• Non-invasive classification of stable HFpEF using a deep learning model trained on acoustic features of sustained vowels.

  Biomed Eng Online, 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

• Deep learning-based myocardial infarction detection using echocardiography.

  BMC Cardiovasc Disord, Jun 2026

• Deep Learning-Based Prediction of Heart Failure Readmission Using Longitudinal Cardiac Device Data.

  J Cardiovasc Electrophysiol, Jun 2026

• Machine Learning Model Using Pre-Cancer Therapy Cardiac Magnetic Resonance Images to Predict Cancer Therapy-Related Cardiac Dysfunction.

  JACC Cardiovasc Imaging, May 2026

• A teacher-student deep learning framework for enhanced clinical screening of heart failure from 12-lead electrocardiograms.

  Physiol Meas, May 2026

• A large-scale 12-lead electrocardiogram dataset for acute coronary syndrome prediction containing 19,955 ECGs.

  Sci Data, May 2026

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