Samsung AI: Early Alzheimer’s Detection with Digital Data
- This article details Samsung Research's work on using data from smartphones and wearables to detect early signs of Alzheimer's disease.
- * Delay Disease Progression: Lifestyle changes (diet, exercise, cognitive stimulation) can help slow down the disease.
- * Multimodal Data Analysis: Researchers are analyzing data from smartphones and wearables, including: * App usage * Typing speed * Messaging patterns * Call frequency *...
Samsung Research is Pioneering Early Alzheimer’s Detection with Digital Biomarkers
This article details Samsung Research’s work on using data from smartphones and wearables to detect early signs of Alzheimer’s disease. here’s a breakdown of the key data:
The importance of Early Detection:
* Delay Disease Progression: Lifestyle changes (diet, exercise, cognitive stimulation) can help slow down the disease.
* Preserve Cognitive Abilities: Earlier intervention with drugs and non-drug therapies can help maintain cognitive function.
* Access to New Treatments: Early detection allows access to new and trial-stage drugs.
Samsung’s Digital Biomarker Technology:
* Multimodal Data Analysis: Researchers are analyzing data from smartphones and wearables, including:
* App usage
* Typing speed
* Messaging patterns
* Call frequency
* Sleep patterns
* Voice data
* Tracking Cognitive changes: The technology aims to measure symptoms of cognitive decline by identifying subtle changes in these patterns.
* specific Cognitive Assessments:
* Short-term memory: Assessed through recalling and repeating sentences.
* Language ability: evaluated through speech fluency and accuracy.
* Executive functions & Social Networks: Inferred from app usage, messaging, and call frequency.
* Voice Data Insights: The study showed brain regions responsible for language and short-term memory (often affected by Alzheimer’s) can be assessed through voice data.
Recent Research Presentation:
* IEEE EMBS Conference (Copenhagen,Denmark): Samsung Research presented studies on their smart device-based technologies for detecting cognitive decline in July.
* Keyboard Input Analysis: A study focused on analyzing typing patterns (speed and corrections) to detect early impairment, prioritizing privacy by focusing on how someone types, not what they type. This approach is language-independent and was highly ranked at the conference (top 7% of papers).
In essence, Samsung Research is leveraging the data we already generate with our everyday devices to create a non-invasive and perhaps powerful tool for early Alzheimer’s detection. This could lead to earlier interventions and improved outcomes for those at risk.