Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Parkinson’s is hard to detect early, but this ingenious mobile app can help

Add as a preferred source on Google
i-PROGNOSIS: Intelligent Parkinson's early detection guiding novel supportive interventions

Progressive neurodegenerative brain disorder Parkinson’s disease (PD) can be tough to spot early on. A failure to do so can mean that patients miss out on valuable time during which they could get treatment or have the opportunity to make lifestyle changes. That’s something an EU-funded project called i-Prognosis wants to change. A four-year project led by Greece’s Aristotle University of Thessaloniki, it has launched a smartphone and smartwatch app which could help diagnose onset Parkinson’s much earlier than is currently the case.

Recommended Videos

“PD is a progressive and chronic neurological disease that often begins with mild symptoms that advance gradually over time,” Professor Leontios Hadjileontiadis, coordinator of the project, told Digital Trends. “Symptoms can be so subtle in the early stages that they go unnoticed, as there are no PD-related biomarkers, such as blood tests, and findings on routine magnetic resonance imaging and computed tomography scans are unremarkable — leaving the disease undiagnosed for years.”

It is here that i-Prognosis aims to help, thanks to the various sensors found in modern mobile devices and some amazing insights from machine learning.

“i-Prognosis proposes a radically novel approach to capture the risk of transition from healthy status towards PD by unobtrusive behavioral sensing and large scale collection of elderlies’ data, acquired from their natural use of smart devices,” Hadjileontiadis continued.

Once a user’s consent has been gathered, the app proceeds to analyze an extraordinary amount of data on their phone. This includes (but isn’t limited to) their voice characteristics while having conversations, the steadiness of their hands while holding their device, the way they enter keystrokes, and even their facial expressions on stored photos or the emotional content of text messages. In other words, it combs through every inch of data in a way that no doctor would be able to, and uses this to predict whether you might want to see a physician. This level of detail probably doesn’t make it an app for the more privacy conscious of people, but if it is able to successfully make you aware of onset Parkinson’s the trade-off may be worth it.

For now, the app is firmly in the testing phase. Hadjileontiadis said that the models will continued to be refined through February 2020. At present, it is available in the Google Play app store for Android users, although only in Germany, Greece, Portugal, and the United Kingdom. Hopefully, a U.S. version — and possible iOS support — could follow at a later date.

Luke Dormehl
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more