Silvio Biaggi

Silvio Biaggi
Co-Founder | Margerite GmbH

„Healthy Longevity in the Third Stage of Life – Why AgeTech is Becoming Increasingly Important“

With increasing life expectancy, our later life stages extend, introducing new challenges. Stereotypes and societal pressures that have long shaped this phase are gradually being dismantled. Numerous companies and institutions drive this change by recognizing the opportunities and challenges of demographic change. They develop new technologies and financial products tailored to the needs of the elderly.

This focus aims to enable individuals, even with declining physical and mental health, to lead independent and fulfilling lives for as long as possible. In Margerite, we analyze various products and categorize companies on the Swiss AgeTech Map, covering daily life, finance, health, and housing. We organize conferences and bring healthy longevity and AgeTech-oriented enthusiasts together.

Prevention is recognized as crucial for healthy aging, incorporating exercise, diet, digital literacy, and social participation from an early age. We also explore the benefits of art, which supports emotional well-being and contributes positively to health maintenance.

Background

Silvio Biaggi has been a fan of computer science since early childhood and has been professionally involved in various areas of IT for over a quarter of a century. He speaks the language of both nerds and users and acts as a link between technology providers and users. Today, he supports SMEs in the trust and medical sectors in operating their IT infrastructure. As a co-founder of Margerite GmbH, he aims to support the creation and strengthening of the AgeTech industry. Silvio is 45 years old and lives in Zurich.

2024-05-14T21:53:42+02:00

Background
Arjan, a 58-year-old teacher, has no symptoms but worries about his risk of prostate cancer due to his father’s history with the disease. His doctor recommends screening, but Arjan is unsure if he really needs it. Meanwhile, Blerim, a 65-year-old retired mechanic, was diagnosed at a late stage, despite having regular check-ups. Advances in AI and data science offer the potential to change these stories—by identifying high-risk individuals earlier and ensuring timely interventions.

Problem
Despite medical advancements, many men still face late diagnoses due to limited screening accessibility, resource constraints, and gaps in existing risk prediction models. Some models lack accuracy across diverse populations, while others fail to integrate smoothly into clinical workflows, making them less effective in real-world settings. A more inclusive, data-driven solution could help bridge these gaps and improve early detection efforts.

The Challenge
How can AI-driven risk prediction improve prostate cancer detection and prevention? Your task is to develop a robust and inclusive machine-learning model that analyzes patient data—such as genetic profiles, lifestyle habits, and clinical records—to identify individuals at risk. The model should prioritize accuracy, fairness, and usability while ensuring patient privacy. Can your solution seamlessly integrate into clinical settings, helping doctors make better-informed decisions? Design a tool that brings early detection within reach for more people, improving health outcomes one step at a time.

Silvio Biaggi

Silvio Biaggi Co-Founder | Margerite GmbH

„Healthy Longevity in the Third Stage of Life – Why AgeTech is Becoming Increasingly Important“

Background

Silvio Biaggi
Co-Founder | Margerite GmbH