Grégoire Preud'homme

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals.

P. Nilsson, F. Zannad, M. Magnusson, 2021, JACC. Cardiovascular imaging.

Clinical determinants and prognostic implications of renin and aldosterone in patients with symptomatic heart failure

N. Samani, K. Dickstein, S. Anker, 2020, ESC heart failure.

Diagnostic performance of congestion score index evaluated from chest radiography for acute heart failure in the emergency department: A retrospective analysis from the PARADISE cohort

F. Zannad, P. Rossignol, Masatake Kobayashi, 2020, PLoS medicine.

Enhanced clinical phenotyping by mechanistic bioprofiling in heart failure with preserved ejection fraction: insights from the MEDIA-DHF study (The Metabolic Road to Diastolic Heart Failure)

A. Mebazaa, W. Paulus, S. Heymans, 2020, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

Sex differences in circulating proteins in heart failure with preserved ejection fraction

A. Mebazaa, W. Paulus, F. Zannad, 2020, Biology of Sex Differences.

Prognostic impact of plasma volume estimated from hemoglobin and hematocrit in heart failure with preserved ejection fraction

B. Pitt, P. Rossignol, N. Girerd, 2020, Clinical Research in Cardiology.

Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project

M. Devignes, P. Rossignol, Malika Smaïl-Tabbone, 2022, J. Biomed. Informatics.

Sex differences in circulating proteins in heart failure with preserved ejection fraction

A. Mebazaa, W. Paulus, F. Zannad, 2020, Biology of Sex Differences.

Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmark

Miguel Couceiro, F. Zannad, M. Devignes, 2021, Scientific Reports.