Edi PRIFTI

UMI209
...
  • IRD Research Fellow
  • UMI209 - Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (UMMISCO)
  • Communities
    Health, Medicine & Biology
    Mathematics, Computer Science & Robotics
  • Expertise
    Cloud computing
    Data analysis
    Data fusion
    Deep learning
    Interpretability
    Machine learning
    Precision medicine
    Statistical learning

Responsibilities

Thematic manager in two laboratories

Selected publications

1) 2023-1 Prifti E, Zucker JD, Fall A, Salem JE, Algalarrondo V, Leenhardt A, Extramiana F. Intelligence artificielle et rythmologie : apports et limites. Archives des Maladies du Coeur et des Vaisseaux-Pratique. 2023 Feb 15.

2) 2022-3 Fromentin S, Forslund SK, Chechi K, Aron-Wisnewsky J, Chakaroun R, Nielsen T, Tremaroli V, Ji B, Prifti E, Myridakis A, Chilloux J, Andrikopoulos P, Fan Y, Olanipekun MT, Alves R, Adiouch S, Bar N, Talmor-Barkan Y, Belda E, Caesar R, Coelho LP, Falony G, Fellahi S, Galan P, Galleron N, Helft G, Hoyles L, Isnard R, Le Chatelier E, Julienne H, Olsson L, Pedersen HK, Pons N, Quinquis B, Rouault C, Roume H, Salem JE, Schmidt TSB, Vieira-Silva S, Li P, Zimmermann-Kogadeeva M, Lewinter C, Søndertoft NB, Hansen TH, Gauguier D, Gøtze JP, Køber L, Kornowski R, Vestergaard H, Hansen T, Zucker JD, Hercberg S, Letunic I, Bäckhed F, Oppert JM, Nielsen J, Raes J, Bork P, Stumvoll M, Segal E, Clément K, Dumas ME, Ehrlich SD, Pedersen O. Microbiome and metabolome features of the cardiometabolic disease spectrum. Nat Med. 2022 Feb 17. doi: 10.1038/s41591-022-01688-4.

3) 2021-6 Prifti E, Fall A, Davogustto G, Pulini A, Denjoy I, Funck-Brentano C, Khan Y, Durand-Salmon A, Badilini F, Wells QS, Leenhardt A, Zucker JD, Roden DM, Extramiana F, Salem JE. Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome. Eur Heart J. 2021 Oct 7;42(38):3948-3961. doi: 10.1093/eurheartj/ehab588.

4) 2020-2 Prifti, E., Chevaleyre, Y., Hanczar, B., Belda, E., Danchin, A., Clement, K., Zucker, JD. Interpretable and accurate prediction models for metagenomics data. Gigascience, 2020, 9-3

5) 2022-1 Belda E, Voland L, Tremaroli V, Falony G, Adriouch S, Assmann KE, Prifti E, Aron-Wisnewsky J, Debédat J, Le Roy T, Nielsen T, Amouyal C, André S, Andreelli F, Blüher M, Chakaroun R, Chilloux J, Coelho LP, Dao MC, Das P, Fellahi S, Forslund S, Galleron N, Hansen TH, Holmes B, Ji B, Krogh Pedersen H, Le P, Le Chatelier E, Lewinter C, Mannerås-Holm L, Marquet F, Myridakis A, Pelloux V, Pons N, Quinquis B, Rouault C, Roume H, Salem JE, Sokolovska N, Søndertoft NB, Touch S, Vieira-Silva S; MetaCardis Consortium, Galan P, Holst J, Gøtze JP, Køber L, Vestergaard H, Hansen T, Hercberg S, Oppert JM, Nielsen J, Letunic I, Dumas ME, Stumvoll M, Pedersen OB, Bork P, Ehrlich SD, Zucker JD, Bäckhed F, Raes J, Clément K. Impairment of gut microbial biotin metabolism and host biotin status in severe obesity: effect of biotin and prebiotic supplementation on improved metabolism. Gut. 2022 Jan 11:gutjnl-2021-325753. doi: 10.1136/gutjnl-2021-325753. 

International collaborations

DeepECG4U (2021-2025, PI): 0.7M€;

LITMUS (2017-2022): H2020 (47 M€);

EPoS (2015-2019): H2020 EU-funded (6 M€).;

METACARDIS (2012-2018): FP7 (23M€);

METAHIT (2008-2012): FP7 (21 M€). 

Industrial collaborations

GMT SCIENCE, SANOFI