Personas / Equipo Humano

Alexandre Perera Lluna

Buscador de publicaciones

Publicaciones

  • Rojo-López MI, Bermúdez-López M, Castro E, Farràs C, Torres G, Pamplona R, Lecube A, Valdivieso JM, Fernández E, Julve J, Castelblanco E, Alonso N, Antentas M, Barranco-Altirriba M, Perera A, Franch-Nadal J, Granado-Casas M, Mauricio D and On Behalf Of The Ilervas Project Collaborators.

    Mediterranean Diet Is a Predictor of Progression of Subclinical Atherosclerosis in a Mediterranean Population: The ILERVAS Prospective Cohort Study.

    Nutrients . 16(21): .

    [doi:10.3390/nu16213607]

  • Barranco-Altirriba M, Alonso N, Weber RJM, Lloyd GR, Hernandez M, Yanes O, Capellades J, Jankevics A, Winder C, Falguera M, Franch-Nadal J, Dunn WB, Perera A, Castelblanco E and Mauricio D.

    Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus.

    CARDIOVASC DIABETOL . 23(1): 109-109. Nº de citas: 4

    [doi:10.1186/s12933-024-02202-5]

  • Cernoša I, Trincado-Alonso F, Canal-Noguer P, Kruusmaa K and Perera A.

    Use of Enzymatically Converted Cell-Free DNA (cfDNA) Data for Copy Number Variation-Linked Fragmentation Analysis Allows for Early Colorectal Cancer Detection.

    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES . 25(6): .

    [doi:10.3390/ijms25063502]

  • Ezquerra Condeminas P, Mallol M, Font R, Tremps V, Gutiérrez JA, Rodas G, Perera A and Soria JM.

    Unraveling athletic performance: Transcriptomics and external load monitoring in handball competition

    PLoS One . 19(3): . Nº de citas: 2

    [doi:10.1371/journal.pone.0299556]

  • Dimitriadis SI, Castells Sánchez Alba, Roig-Coll F, Dacosta-Aguayo R, Lamonja-Vicente N, Torán-Monserrat P, García-Molina A, Monte-Rubio G, Stillman C, Perera A and Mataró-Serrat M.

    Intrinsic functional brain connectivity changes following aerobic exercise, computerized cognitive training, and their combination in physically inactive healthy late-middle-aged adults: the Projecte Moviment

    GeroScience . 46(1): 573-596.

    [doi:10.1007/s11357-023-00946-8]

  • Fayos De Arizón L, Viera ER, Pilco M, Perera A, De Maeztu G, Nicolau A, Furlano M and Torra R.

    Artificial intelligence: a new field of knowledge for nephrologists?

    CLINICAL KIDNEY JOURNAL . 16(12): 2314-2326. Nº de citas: 5

    [doi:10.1093/ckj/sfad182]

  • Marín-López D, Llano-Viles J, Haddi Z, Perera A and Fonollosa J.

    Home monitoring for older singles: A gas sensor array system

    SENSORS AND ACTUATORS B-CHEMICAL . 393: 134036. Nº de citas: 2

    [doi:10.1016/j.snb.2023.134036]

  • Gomez-Gonzalez S, Llano-Viles J, Garcia-López M, Garrido- García A, Suñol M, Lemos I, Pérez-Jaume S, Salvador-Marcos N, Gene-Olaciregui N, Galán RA, Santa-María López V, Pérez-Somarriba M, Castañeda-Heredia A, Hinojosa J, Winter U, Moreira FB, Lubieniecki F, Vazquez V, Mora J, Cruz-Martínez O, Morales-La Madrid A, Perera A and Lavarino C.

    EpiGe: A machine-learning strategy for rapid classification of medulloblastoma using PCR-based methyl-genotyping

    iScience . 26(9): 107598-107598. Nº de citas: 1

    [doi:10.1016/j.isci.2023.107598]

  • Peralbo-Molina Á, Sola-de los Santos P, Perera A and Chicano-Gálvez E.

    Data Processing and Analysis in Mass Spectrometry-Based Metabolomics.

    Methods In Molecular Biology (clifton, N.J.) . 2571: 207-239. Nº de citas: 1

    [doi:10.1007/978-1-0716-2699-3_20]

  • Manzini E, Vlacho B, Franch-Nadal J, Escudero J, Génova A, Reixach E, Andrés E, Pizarro I, Portero JL, Mauricio D and Perera A.

    Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records

    JOURNAL OF BIOMEDICAL INFORMATICS . 135: 104218-104218. Nº de citas: 4

    [doi:10.1016/j.jbi.2022.104218]