Large number of patients

Over 2.5 million people around the globe suffer from Multiple Sclerosis, let alone all other neurological diseases like Alzheimer and Parkinson. Despite all the effort spent on R&D, it’s still extremely hard to identify and predict the causes.

Not enough data

Clinical data gathered through tests and for example MRI scans has not proved to be sufficient for researchers so far. The amount of observations is too small, the frequency too low and most of the time it’s hard to access the data.

Predictive analysis

In the ideal world researchers would have access to a permanent stream of real world evidence data, allowing them analyze the status of patients in their daily life. The next step could be predictive analysis and ultimately root cause analysis.

Real World Evidence

We want to provide researchers with a qualitative and quantitative outstanding database with Real World Evidence data of patients suffering form neurological diseases, starting with MS.

Research community

Universities, research institutes and scientists around the globe are invited to access and enrich the Neurokeys Database with their own datasets, algorithms, models, suggestions and findings.

Knowledge base

Our initiative will lead to a knowledge base providing creative minds with input to detect deviations in the current status of patients, analyze the causes, and come up with beneficial treatments.

Detecting fatigue

Fatigue seems to be a good predictor looking at the status of patients suffering neurological diseases like MS. Fatigue meaning, sleepiness, decreased cognition and or problems due to muscular motility. Detecting intra and inter day fatigue of patients could be a compelling starting point for further research into the causes of diseases like MS.

Research community

It’s our assumption that patients suffering from fatigue will type fewer messages on their smartphone, make more mistakes and for instance type less words with more than 6 characters per message. This assumption is being validated within a clinical trial by the VU University Medical Center Amsterdam, one of worlds leading research centers on MS.

Knowledge base

The Neurokeys Keyboard is easily installed on your smartphone and has exactly the same functionality as the native keyboard. In the background we store keystroke data allowing us to analyze typing patterns. We analyze how people type and not what they type. The data is stored anonymously and in a highly secure environment.

Analyzing typing behaviour with the Neurokeys App.

Neurological diseases like MS are hard to track. This is makes it very difficult to identify the causes of declines in time. With the Neurokeys App we will be able to measure fatigue, by analyzing the typing behaviour on smartphones. Since fatigue has proven to be a strong indicator of patients well being, this might be a starting point for researchers to come up with alternative and better treatments.

Tons of Options


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Gathering, enriching and sharing data with the Neurocast Database.

Neurokeys collects data on typing behavior. This data is enriched with sensor data from your smartphone like location, HealthKit data like step counters and Open Databases like temperature and humidity. This data will be anonymized and stored in the Neurocast Research Database. Just think of all the analysis possible.

With a one-time installation on their smartphone, patients around the globe contribute to their own research database. Without any extra effort.

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2.5 mln.

MS patients annually spend between € 30.000 and € 35.000* on medication and other medical costs.

900 mln.

people on the planet suffer from neurological diseases like Parkinson, Alzheimer, ALS and depressions.


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