Abstract for the ATTD-Asia conference, 18 – 20 November 2024 in Singapore. Insulin Resistance Prediction from Surrogate Measures of Continuous Glucose Monitoring David Herzig, Tommi Arffman, Maurice Rupp, Thomas Castiglione, Philippine Des Courtils, Arina Lozhkina, Lia Bally, André Jaun Download PDF
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.