Kneu is grounded in over a decade of Oxford-led research shaped by clinical expertise, validated in practice, and open for you to explore.
15 January 2026 | Nature npj Digital Medicine
This study demonstrates that the assessment platform enables more accessible, scalable, and remote-friendly dementia screening and cognitive monitoring. It accurately detects age-related cognitive changes and identifies Alzheimer's disease, highlighting its potential for widespread use in both clinical practice and research.
1 December 2025 | Nature npj Digital Medicine
This study demonstrates that brief smartphone-based motor assessments can help identify dopaminergic deficits associated with Parkinson's disease, offering a more accessible and scalable alternative to specialized brain imaging. The findings show that smartphone-derived measures of gait, tremor, and dexterity can complement clinical evaluations, supporting their potential for earlier detection and broader monitoring of Parkinson's disease in clinical and research settings.
14 April 2024 | Alzheimer's & Dementia Diagnosis, Assessment & Disease Monitoring
This study demonstrates that remote digital cognitive assessments are closely associated with blood-based biomarkers of Alzheimer's disease, particularly plasma phosphorylated tau (p-tau181). By combining online cognitive testing with blood biomarkers, the approach offers a scalable and accessible way to improve early detection, patient stratification, and monitoring of Alzheimer's disease in both clinical care and research.
6 April 2022 | Journal of Neurology, Neurosurgery, and Psychiatry
Featured in the Journal of Neurology, Neurosurgery, and Psychiatry, this study introduces a novel composite clinical score that can be used for monitoring Parkinson's Disease progression and refining patient care.
8 February 2021 | IEEE Access
Published in IEEE Access, this research on smartphone speech testing marks a significant stride in symptom assessment and diagnostic ability for REM Sleep Behavior Disorder and Parkinson's Disease using voice analysis.
3 February 2021 | Science Translational Medicine
This study demonstrated that smartwatch inertial sensors can continuously and accurately monitor Parkinson's disease motor symptoms, including tremor and dyskinesia, in real-world settings over extended periods. The findings highlight the use of wearable technology to improve symptom tracking, support personalized treatment decisions, and enhance communication between patients and clinicians.
9 September 2020 | Cortex
This publication in Cortex, demonstrates how our measure of memory precision can provides an easy-to-administer assessment of short-term memory that is sensitive to the different types of deficit in Alzheimer's Disease and Parkinson's Disease, with the ability to inform clinical practice.
11 June 2020 | Nature Scientific Reports
This study in Nature Scientific Reports further supports the role of cognitive tasks in Alzheimer's Disease and those with genetic risk factors for the condition, offering deeper insights into the disease's genetic complexity assessment methods.
26 July 2019 | Annals of Clinical Translational Neurology
This study, in the Annals of Clinical Translational Neurology, delves into predictive models for Parkinson's Disease progression. It highlights the criticality of accurate measurement and our ability to predict key future clinical outcomes.
16 October 2018 | Neurology
A study in Neurology, the prestigious journal from the American Academy Neurology, demonstrates our smartphone-based motor testing's efficacy. Our platform can successfully differentiate idiopathic REM sleep behaviour disorder, Parkinson's Disease, and age matched control groups, showcasing the potential of our digital tools.
14 April 2016 | Cortex
Published in Cortex, this research validates the effectiveness of our cognitive tasks in assessing various cognitive functions, vital for assessing Alzheimer's progression.
