Seminario - Biotecnologie e Bioscienze - Giovedì 16 aprile 2026, 16.30, edificio U3-BIOS, aula U3-09.
Andrea De Gaetano, Istituto per la Ricerca e l'Innovazione Biomedica del CNR (CNR-IRIB, Palermo)
Abstract
Complex biological phenomena, of very concrete interest from a biomedical point of view, lend themselves to mathematical modeling. The clinical practitioner would like to extract meaningful features from available data, leading to potential adjustments in diagnosis, prognosis or therapy. However, it often happens that the available clinical data, even if abundant in quantity, carry a modest information content, making detailed models unidentifiable. This is the case, for example, of trans-cutaneously measured glycemia, where besides glycemia itself (possibly decaying by first-order elimination) also unobserved factors (insulinemia, other hormones) may exert higher order effects. The problem is here further complicated by the fact that random events (food intake, exercise, emotions) may affect glycemia as well. Standard mathematical modeling tools are inadequate to deal with this kind of problems. This presentation will exemplify the use of simple Fractional Stochastic Differential Equation (FSDE) models of glycemic control, with the attendant approaches to parameter estimation in this framework.
Ospite: Pasquale Palumbo
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