DARPA.CH

Sergio d'Arpa

Some news about me, written by me

it's me

I am an aspiring father, entrepreneur, author, speaker, and supercomputing expert. "Aspiring" because I keep trying, without fully understanding how it works, though I suspect I’m not alone in this.

In the meantime, I invented the Digital Twin in Health and developed Augmented Longevity. Over the years, I’ve owned everything from a motocross bike to a Harley Davidson, and even a sidecar.

I write a column on digital health for Tiscali, a publicly traded telecommunications company. You can read it here: https://innovazione.tiscali.it/rubriche/sergio-d-arpa/

I also founded the world’s first fully digital health clinic: Klinik Sankt Moritz https://kliniksanktmoritz.ch/

I was born in Rome, got married in Hawaii, and divorced in St. Moritz, where I now live. Many consider me mad; just as many think I’m a genius—take a guess where my ex-wife stands on that.

My theory is simple: If I use the same wearable device to collect consistent data on a "healthy patient," I can probably be predictive.

Today, a life-saving device is often sold somewhere between a fridge and a toaster by a salesperson who knows only its available colours.

Find me on LinkedIn: https://www.linkedin.com/in/sergiodarpa

My Journey in Solving Complex Problems and the Path to Longevity

I have always been dedicated to tackling complex problems and developing advanced solutions on the web. Take ADSL, for example: on the surface, it may seem simple, but managing all the activities involved—last-mile delivery, worker coordination, regulatory compliance, and legal requirements—makes it incredibly intricate.
Imagine rolling out ADSL across Europe, with each country having its own set of last-mile regulations. This meant managing different contracts, languages, and pricing structures for each market.

I’ve always been responsible for large-scale, high-complexity systems that required automated responses to millions of similar requests daily. Manual handling was impossible, so I relied on supercomputing to automate these processes. What we now call artificial intelligence (AI) was, in essence, the automation and computational power needed to meet these demands. Back then, it wasn't "generative AI" as we know it today, but it was intelligent processing nonetheless.

For instance, I once developed a search engine to locate people selling cars, based on the insight that someone selling a car was likely in the market for another one. The market has since evolved—today, someone selling a car might instead buy an electric bike or scooter. But the principle of creating solutions based on complex data remains the same.

Throughout my career, I've consistently pursued complex, innovative products and advanced research. Then, one day, I moved to Saint Moritz and discovered I had high blood pressure. At 2,000 metres above sea level, this was dangerous. My then-wife, a doctor, was deeply concerned—though perhaps today, she’d feel differently!

She warned me of the risks. In an attempt to manage the issue, I casually mentioned I’d download an app to monitor my blood pressure remotely, thinking it would be a straightforward solution. To my surprise, no such app existed that could reliably track and report my health metrics in real-time. This exposed a significant gap in healthcare, one that remains today.

The gap lies not only within healthcare but also between specialised fields. We have highly skilled engineers and doctors, both operating in intensely vertical domains. Yet, there’s little collaboration across these fields.

This creates a siloed approach to innovation, with each solution addressing narrow areas like cardiovascular health, orthopaedics, or dermatology. Holistic medicine exists, but it rarely goes deep enough to integrate vertical specialities effectively.

Bringing an “horizontal” perspective into such a highly verticalised world is challenging. I spend hours training specialists to adopt a broader view, aiming to instil an interdisciplinary mindset.

However, interdisciplinary teams often simply align experts side by side, which is a delegated approach to achieving an integrated view, rather than a truly holistic one. To achieve longevity and comprehensive patient care, we need an inherently horizontal vision—one that isn’t just a patchwork of specialties.

This is especially challenging in the medical field, where depth and rigour are rightly prized. Doctors, trained to delve deeply into their specialisations, find it difficult to approach problems with the necessary flexibility. It’s not about undermining depth but fostering a degree of adaptability that allows them to see the bigger picture.

My goal, despite not being a doctor myself, is to cultivate this mindset. It’s a difficult mission—guiding professionals whose dedication to depth runs deep towards an openness to broader thinking. But if we are ever to achieve true longevity and preventive health, this integration is essential.

Someone has to bridge this divide, and I am committed to doing so. Without a cohesive, cross-disciplinary approach, we risk missing the larger vision needed to advance healthcare and promote longevity in meaningful ways.

/a book about Digital Twin

数字双胞胎

A series of reflections on the Digital Twin, written spontaneously during a significant moment in my life.
/Digital twins

数字双胞胎

An initial overview of Digital Twins to begin illustrating how they work.
/Digital certification

First Step

The first step for a doctor to go digital and approach the Digital Twin.
/Certificazione Digitale

Primo Passo

Il primo passo per un medico per diventare digitale e avvicinarsi al Digital Twin.
/the first introduction to the Digital Twin

数字双胞胎

How the Digital Twin Becomes the Doctor's Main Tool Today
/la prima introduzione al gemello digitale

数字双胞胎

Come il Cemello Digitale diventa lo strumento principale del medico Oggi
/Manufacturer pont of view

Global reach

The text is not linked as it is aimed at a business market. To access this information, please contact me directly.
/Work in Progress

Top Secret

Never Ask

数字双胞胎收集 数据 来自设备与应用程序

主要有三个数据源:设备、应用程序和分子医学
数字双胞胎收集您的表观遗传数据,成为您生活方式的记录本。数据来自设备、应用程序、分子医学、测试和医疗记录。

人工智能系统、医生和科学家可实时或延时在您身边或远程不断验证您的数字生物标志物是否符合您的目标。

此外,通过持续收集数据,还可以寻找新的数字生物标志物,并纳入新的生物标志物以提高预测能力。

开启长寿之门生活方式选择的力量 表观遗传学

身高是遗传因素。体重是表观遗传。
你无法改变自己的身高,但你的生活方式会完全影响你的体重。
86%的疾病是由表观遗传学引起的。表观遗传学也被定义为生活方式。数字双胞胎会自动记录你的生活方式,无需任何努力。是时候成为自己的英雄了。

在旅程开始时,我们的目标是 以对抗猝死。

没有什么突发性疾病。超过 80% 的疾病是可以轻松预防的。阻碍你预防这些疾病的唯一障碍就是没有采取行动。
满足各种需求的数字孪生系统
我们的医生非常了解数字孪生的潜力,每月都会了解最新进展。他们可以制定个性化的解决方案,改善您的生活方式,支持您的表观遗传学。
家中的数字双胞胎
我们不仅可以送货上门,还拥有一个由自主认证的医疗技术专家组成的全球网络,您可以随时与他们联系,他们会随时赶到您的住所。
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