Abstract for the European Society of Cardiology, 30 August – 2 September 2024 in London. Comorbidity neural network model for personalised recommendations in cardiometabolic risk factor management: towards early precision medicine in routine clinical practice Yaron Dibner, Nicolas Brandt, Andrew Krentz, Arina Lozhkina, Alexandre Luster, Arthur Père, André Jaun Download PDF
A staggering one-third of the global population may harbour metabolic dysfunction associated fatty liver disease (MAFLD). This burgeoning, obesity-related health crisis is projected to escalate, with obesity rates expected to jump from 15% in 2023 to ~25% by 2035. Metadvice stands at the forefront of this challenge, leveraging AI to empower clinicians in managing the complex web of chronic diseases, particularly where metabolic and cardiovascular disorders intersect. In this blog, we draw on new evidence to explore how Metadvice technology can address this growing disease area.
Abstract submitted for the 59th meeting the European Association for the Study of Diabetes, EASD, Hamburg, October 2–6, 2023 Glucose-Insulin modelling of DM2 patients with CGM monitoring under various therapies David Herzig1, Lia Bally1, Thomas Castiglione2,3, Philippine Des Courtils2,3, André Jaun2 1 UDEM, Inselspital, Freiburgstrasse 2, 3010 Bern, Switzerland 2 Metadvice, Route Cantonale 109, 1025…