Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspective.

Autor: Hourican, Cillian¹ c.j.hourican@uva.nl, Peeters, Geeske^2,3, Melis, René J. F.², Wezeman, Sandra L.³, Gill, Thomas M.⁴, Rikkert, Marcel G. M. Olde^2,3, Quax, Rick^1,5

Publikováno v: Frontiers in Systems Biology. 6/20/2023, Vol. 3, p1-8. 8p.

Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data.

Autor: Koloi A; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.; Department of Biological Applications and Technology, University of Ioannina, Ioannina, Greece.; Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands., Loukas VS; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece., Hourican C; Computational Science Lab, Institute of Informatics, University of Amsterdam, Amsterdam, The Netherlands., Sakellarios AI; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.; Biomedical Engineering of the Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece., Quax R; Computational Science Lab, Institute of Informatics, University of Amsterdam, Amsterdam, The Netherlands., Mishra PP; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland., Lehtimäki T; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland., Raitakari OT; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland., Papaloukas C; Department of Biological Applications and Technology, University of Ioannina, Ioannina, Greece., Bosch JA; Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands., März W; Department of Internal Medicine V, University of Heidelberg, Mannheim, Germany.; Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Austria.; SYNLAB Holding Deutschland GmbH, Augsburg, Germany., Fotiadis DI; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.; Department of Biomedical Research, FORTH-IMBB, GR 45110 Ioannina, Greece.

Publikováno v: European heart journal. Digital health [Eur Heart J Digit Health] 2024 Aug 09; Vol. 5 (5), pp. 542-550. Date of Electronic Publication: 2024 Aug 09 (Print Publication: 2024).