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| http://dx.doi.org/10.1186/s40463-021-00532-y | DOI Listing |
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Clinical Manifestations.
Alzheimers Dement
December 2024
Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands.
Background: With the increasing number of potential interventions for Alzheimer's Disease (AD), there is a growing need to detect meaningful cognitive changes early in the disease. Frequent passive monitoring of smartphone behaviour, such as typing speed and precision, can give insight into the cognitive changes in AD. In the 'A personalized Medicine Approach for AD' (ABOARD)-project we investigated the reliability and validity of typing behaviour to monitor cognition in people with and without AD.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
University of California Los Angeles, Los Angeles, CA, USA.
Background: Unsupervised high-frequency cognitive-ecological momentary assessment (EMA) on smartphones is increasingly used to assess preclinical risk for Alzheimer's disease and related dementias (ADRD). While these tests are reliable and valid for individuals with preclinical ADRD, it is unclear whether administering cognitive EMAs to people living with ADRD is feasible and valid. Our study explored the feasibility and validity on cognitive EMA tests in people living with moderate to severe ADRD.
View Article and Find Full Text PDFBackground: Intraindividual variability (IIV) on neuropsychological task performance has demonstrated enhanced sensitivity to neuropathological decline compared to mean performance. It is currently unknown whether increased IIV in everyday behaviors may also lend added sensitivity to detect early subtle changes seen in pre-clinical ADRD.
Methods: In a pilot smartphone digital phenotyping study, 34 participants (M = 71.
Gold nanoclusters-based dual-mode ratiometric sensing system for selective and sensitive detection of paraquat.
Talanta
December 2024
Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, 999078, China. Electronic address:
Unreasonable or illegal utilization of pesticides may lead to pollution of agricultural products, especially with some persistent but effective pesticides. Hence, there is an urgent need to develop sensitive and rapid methods for pesticide detection to ensure the safety of agricultural products. Herein, a dual-mode ratiometric sensing system utilizing two gold nanoclusters (G/R-AuNCs) was designed and constructed for paraquat (PQ) detection, a typical, highly toxic, widely used pesticide.
View Article and Find Full Text PDFFeasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
Nurs Rep
December 2024
Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.
Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mortality associated with mental illness, there is an urgent need to identify callers to helplines who have a high level of distress and need to be seen by a clinician who can offer interventions for treatment.
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