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Ateneo
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Ateneo

Research Area

  • Title:
    Biomedical engineering for diabetes, metabolism and immunometabolism research

  • Keywords:

    Computational/mathematical modeling, pharmacokinetics/pharmacodynamics, diabetes technology, non-invasive glycemia assessment continuous glucose monitoring

  • Description:

    Biomedical engineering methodologies support research on diabetes, metabolism and immunometabolism and allow the development of technologies and approaches devoted to the prevention, diagnosis, and treatment of diabetes (type 1, type 2 and gestational diabetes), as well as to the comprehension of relevant physiological and pathological mechanisms. Studies in this field are aimed at developing:

    • computational (in silico) models to describe kinetics of substances in the body, provide indirect estimation of relevant quantities, predict the effect of nutritional and physical activity profiles on metabolic health and the development of diabetes
    • methodologies and tools in diabetes technology related to continuous glucose monitoring (CGM), metrics for glycemia using CGM, novel insulins and glucagons, novel sensors, wearable devices, use of artificial intelligence in diabetes
    • clinical decision support systems (CDSS) using different data sources: glucose tolerance tests (oral, intravenous or meal), electronic health records, continuous glucose monitoring and wearable sensors (activity trackers, smartwatches)
    • fully non-invasive solutions for glycemia assessment, by working on the identification of “digital biomarkers”, defined as digitally collected data from wearable devices that may be used as indicators of health outcomes
  • Laboratory:

    Laboratory of Diabetes and metabolism InvestigAtion through Biomedical Engineering, TEchnology and Simulation (DIABETES LAB)

  • Contact Person:

    Micaela Morettini

  • Collaborations:

    Istituto di Neuroscienze, CNR, Padova (Italy); Department of Obstetrics and Gynaecology, Medical University of Vienna (Austria); Istituto per le Applicazioni del Calcolo, CNR, Roma (Italy); Department of Biomedical Engineering, University of Southern California (US); Dipartimento di Scienze Motorie, Umane e della Salute, Università degli Studi di Roma “Foro Italico” (Italy)

  • Projects:
    • 2020-2022: POR MARCHE FESR
    • 2014-2020 “W2BIOS-Wireless Wearable Biometric Sensors”