Marco Fratus
Wearable and Implantable Technology | Physics-based Framework | Computational Modeling | Microneedle | Medical Devices | Closed-Loop Systems
- Role
- Algorithm Engineer at Abbott
- Location
- Alameda, CA, US
- LinkedIn followers
- 500 followers
About Marco Fratus
Envisioning a Digital Twin for Chronic Disease Management.Imagine a smart, always-on system that repairs disrupted feedback loops in the body using biomedical devices-a ‘digital twin’ of ourselves!My work focuses on glycemic regulation in diabetics using wearable microneedle patches for glucose sensing and insulin delivery. By developing the first physics-based model for this technology, I bridge the gap between experiments and simulations, aiming to forecast medical outcomes by exploring:• Dynamic Regulation: How can we prevent diabetic complications before they occur?• Accuracy: How should sensors respond precisely to real-time changes in the body?• User-Friendliness: How can we make treatment more intuitive and less dependent on patients?• Autonomy: How do we manage device degradation and determine optimal replacement times?• Scientific Insight: Can we detect and understand unexpected events in glycemic regulation?• Personalization: How can we tailor treatment to individual variations in glycemic control?• Long-Term Reliability & Autonomy: Can we predict and address device failures to determine optimal replacement times or, better, avoid frequent replacements?• Broader Applications: How can these methods translate to managing other conditions like Parkinson’s?By tackling these questions, I want to build an integrated framework for advanced, data-driven disease management.
Experience
Algorithm Engineer
May 2025 — Present · Alameda, CA, US
Education
Liceo Scientifico Lorenzo Federici, Trescore Balneario (BG)
High School, Scientific studies
2006 — 2011
KTH Royal Institute of Technology
Double Degree Exchange Program, Nanotechnology - Nanoelectronics
Purdue University
Doctor of Philosophy - PhD, Electrical and Computer Engineering
Politecnico di Milano
Master's degree, Electronics Engineering
2014 — 2017
Politecnico di Milano
Bachelor's degree, Biomedical Engineering
2011 — 2014
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