MULTI-CENTER RANDOMIZED CROSS-OVER ITALIAN PEDIATRIC SUMMER CAMP: AP VS SAP IN 5–9 YEAR OLD CHILDREN in 9th International Conference on Advanced Technologies & Treatment of Diabetes (ATTD) Barcellona 2016

Authors :: Del Favero S.
Boscari F.
Messori M.
Rabbone I.
Bonfanti R.
Sabbion A.
Iafusco D.
Schiaffini R.
Visentin R.
Calore R.
Leal Y.
Galasso S.
Galderisi A.
Vallone V.
Di Palma F.
Losiouk E.
Lanzola G.
Tinti T.
Rigamonti A.
Marigliano M.
Zanfardino A.
Rapini N.
Avogaro A.
Chernavvsky D.
Magni L.
Cobelli C.
Bruttomesso D.
Del Favero, S.
Boscari, F.
Messori, M.
Rabbone, I.
Bonfanti, R.
Sabbion, A.
Iafusco, D.
Schiaffini, R.
Visentin, R.
Calore, R.
Leal, Y.
Galasso, S.
Galderisi, A.
Vallone, V.
Di Palma, F.
Losiouk, E.
Lanzola, G.
Tinti, T.
Rigamonti, A.
Marigliano, M.
Zanfardino, A.
Rapini, N.
Avogaro, A.
Chernavvsky, D.
Magni, L.
Cobelli, C.
Bruttomesso, D.
Publication Year :: 2016
Abstract: Background and Aims: The Artificial Pancreas (AP) system based on the Modular Model Predictive Control algorithm (MMPC) running on the wearable platform Diabetes Assistant (DiAs, University of Virginia) has been successfully used for 2 months in adults patients reducing time-in-hypo (CGM

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