Medizinische Universität Graz - Research portal
El-Hakouni Omaima |
Presentations at scientific and public conferences
Basta, S; Mecani, R; Baumann, PM; El-Hakouni, O; Cigler, M; Mader, JK
PRAESIIDIUM: Physics-Informed Machine Learning for the Prediction and Reversion of Impaired Fasting Glucose
Diatec; JAN 22-24; Berlin. 2026.
[Oral Communication]
Basta, S; Mecani, R; Baumann, PM; El-Hakouni, O; Cigler, M; Mader, JK
PRAESIIDIUM: Physics-Informed Machine Learning for the Prediction and Reversion of Impaired Fasting Glucose
Diatec; JAN 22-24; Berlin. 2026.
[Oral Communication]
Meçani, R; Basta, S; Baumann, PM; Cigler, M; El-Hakouni, O; Hochfellner, DA; Shojaee-Moradie, F; Siu Fan, K; Tews, D; Pieber, TR; Russell-Jones, D; Mathieu, C; Koehler, G; Mader, JK; EASA Diabetes Consortium
Performance of Continuous Glucose Monitoring Systems (CGMs) During Commercial Flights in Type 1 Diabetes: A Within-Subject Comparative Pilot Study.
Diabetes Technology Meeting; OCT 28-30, 2025; Burlingame, USA. 2025.
[Poster]
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