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29 June, 2026

Can AI make heart failure evidence reviews faster and more reliable? New iCARE4CVD research puts it to the test

Screening thousands of research papers is one of the most time-consuming steps in evidence synthesis. A new study from the iCARE4CVD consortium asks whether large language models can do it reliably — and at scale.
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1 June, 2026

Prediction or speculation: heart failure models for diabetes – An Editorial comment from iCARE4CVD

Can we predict heart failure in people with diabetes, or are we..
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2 April, 2026

Connecting Health Data for Better Heart Failure Monitoring (SWAT4HCLS conference)

At the SWAT4HCLS conference, iCARE4CVD presented new research introducing the Digital Biomarker..
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15 January, 2026

CMEO: making heart disease and clinical studies easier to find, compare, and reuse

Across Europe, vast amounts of heart disease data already exist—but they are..
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15 January, 2026

Beyond medical results: Using Patient-Reported Outcomes and Experiences in heart care – a scoping review

In a recent scoping review, we examined 390 studies to understand how..
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2 January, 2026

iCARE4CVD salutes the new EU cardiovascular Health Plan!

With the new EU Cardiovascular Health Plan launched – iCARE4CVD welcomes the..
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1 October, 2025

iCARE4CVD’s five recommendations for the EU Cardiovascular Health Plan

The iCARE4CVD consortium is urging the European Union (EU) to place personalised..
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Funding acknowledgment

This project is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) and Breakthrough T1D under grant agreement No 101112022. The JU receives support from the European Union’s Horizon Europe research and innovation programme and COCIR, EFPIA, Vaccines Europe, EuropaBio and MedTech Europe.

Disclaimer

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the aforementioned parties. Neither of the aforementioned parties can be held responsible for them.

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