A new technological breakthrough is changing the way we understand and approach mental health. The BiAffect brain fitness tracker, developed by Professor Alex Leow from the University of Illinois in Chicago, utilizes data patterns from a smartphone keyboard to analyze a person’s neuropsychological state.
By collecting personalized and continuous data from app users, Leow’s team aims to detect mental illnesses and provide valuable information for medical caregivers. The app has already shown promising connections between sending text messages frequency, the number of typos, and the level of depression. Leow hopes that by sharing these biomarker-derived insights with patients, they will be able to play a more active role in managing their mental health.
The potential of the app also extends to analyzing language and speech patterns to identify more advanced depression and suicidal tendencies. However, privacy-related issues need to be addressed. As technology advances, Leow plans to involve consumers in all aspects of the app’s development and utilize wearable devices to gather real-time data in a natural environment.
FAQ
How does the BiAffect brain fitness tracker work?
The BiAffect brain fitness tracker analyzes data patterns from a smartphone keyboard to understand a person’s neuropsychological state.
Is the app already available on the market?
The BiAffect app is currently under development and testing and is not yet available to the general public.
Definitions
Neuropsychology – the scientific field that studies the relationship between the nervous system and cognitive functions and behavior.
Biomarkers – measurable biological indicators that may indicate the presence of a particular disease or the body’s response to certain factors.
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