Dr Benoit Tyl, MD, FESC is an expert in Cardiology at Bayer (France) (France). Benoit Tyl has authored 47 publications, the most recent in 2026, and is an investigator in 1 clinical trial. SLR score: 170 (community average: 125). How the SLR is computed.

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Dr Benoit Tyl, MD, FESC Bayer (France) France
170 ScienceLeadR Reputation 170
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Cardiology

Subspecialties: Informatics - Public Health - Genetics

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2010 - 2026

Source: PubMed

Servier (Group)

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 47

Citations

Citations: 1 913 1st author: 6 Last author: 11 Unique author: 0


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Multimodal data-driven clustering analysis of heart failure patients identifies two distinct patterns of heart failure with preserved ejection fraction: Results from the PACIFIC-PRESERVED study.
PMID 42875459 — biological science disciplines, heart failure, heart, heart failure, diastolic, cluster analysis
Nat Commun20260
Automated full-text screening and accelerated reviews using large language models with context-aware agents: an exploratory analysis in biomarker research.
PMID 42182048 — language, multiple chronic conditions, biomarkers, heart failure, systolic, research, artificial intelligence
Eur Heart J Digit Health20260
Large-Scale Proteomic Profiling of Incident Heart Failure and Its Subtypes in Older Adults.
PMID 41636061 — genes, myocardial infarction, heart failure, heart, cardiovascular diseases, heart failure, diastolic, heart failure, systolic, proteomics, therapeutics, random allocation, complement c9
Circ Genom Precis Med20260
Machine learning-enabled systematic review on coded healthcare data in heart failure research.
PMID 41574045 — heart failure, heart, machine learning, research, learning
Eur Heart J Digit Health20250
Patient-Reported Experience Measures to Evaluate Digitally Supported Care Processes for Heart Failure: A Scoping Review.
PMID 39234735 — medical informatics, heart failure, heart, patient reported outcome measures, biomedical technology
Stud Health Technol Inform20240

Clinical Studies 1

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

Phase 3 1

By status:

Completed 1

By type:

Interventional 1

By Monocentric/Multicentric:

monocentric 0
multicentric2to4 1
multicentric5to9 0
multicentricup10 0

Main Topics

Cohort/Consortium Investigators 1

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