A5068644511- Dementia and Cognitive Impairment Research
- Neurobiology of Language and Bilingualism
- Machine Learning in Healthcare
- Dysphagia Assessment and Management
- Health Systems, Economic Evaluations, Quality of Life
- Autism Spectrum Disorder Research
- Multiple Sclerosis Research Studies
- Chronic Disease Management Strategies
- Neurogenetic and Muscular Disorders Research
- Memory and Neural Mechanisms
- Effects of Vibration on Health
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Emotion and Mood Recognition
- Alzheimer's disease research and treatments
- EEG and Brain-Computer Interfaces
- Amyotrophic Lateral Sclerosis Research
- Mental Health via Writing
- Social Robot Interaction and HRI
KIST Europe
2023
Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central nervous system demyelination and axonal degeneration. Fatigue affects major portion of MS patients, significantly impairing their daily activities quality life. Despite its prevalence, the mechanisms underlying fatigue in are poorly understood, measuring remains challenging task. This study evaluates efficacy automated speech analysis detecting patients. patients underwent detailed clinical assessment...
Progressive cognitive decline is the cardinal behavioral symptom in most dementia-causing diseases such as Alzheimer's disease. While well-established measures for cognition might not fit tomorrow's decentralized remote clinical trials, digital assessments will gain importance. We present evaluation of a novel speech biomarker (SB-C) following Digital Medicine Society's V3 framework: verification, analytical validation, and validation.Evaluation was done two independent samples: Dutch...
Background: Modern prodromal Alzheimer’s disease (AD) clinical trials might extend outreach to a general population, causing high screen-out rates and thereby increasing study time costs. Thus, screening tools that cost-effectively detect mild cognitive impairment (MCI) at scale are needed. Objective: Develop algorithm can differentiate between healthy MCI participants in different clinically relevant populations. Methods: Two algorithms based on the remote ki:e speech biomarker for...
Objective: There is a need for novel biomarkers that can indicate disease state, project progression, or assess response to treatment amyotrophic lateral sclerosis (ALS) and associated neurodegenerative diseases such as frontotemporal dementia (FTD). Digital are especially promising they be collected non-invasively at low burden patients. Speech have the potential objectively measure cognitive, motor well respiratory symptoms low-cost in remote fashion using widely available technology...