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pro vyhledávání: '"Robbert Harms"'
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
Abstract Conventional neuropsychological assessments for Alzheimer’s disease are burdensome and inaccurate at detecting mild cognitive impairment and predicting Alzheimer’s disease risk. Altoida’s Digital Neuro Signature (DNS), a longitudinal c
Externí odkaz:
https://doaj.org/article/8ad6563ddcef480eb7e920b165677cf6
Publikováno v:
Open Research Europe, Vol 1 (2022)
Parkinson's disease (PD) is the fastest growing neurodegeneration and has a prediagnostic phase with a lot of challenges to identify clinical and laboratory biomarkers for those in the earliest stages or those 'at risk'. Despite the current research
Externí odkaz:
https://doaj.org/article/fc2912da2c95474fbb56b8fdc13efef8
Autor:
Adrià Tort‐Merino, Ioannis Tarnanas, Maximilian Bügler, Robbert Harms, Guadalupe Fernandez‐Villullas, Jordi Juncà‐Parella, Beatriz Bosch, Albert Lladó, Raquel Sanchez‐Valle, Mircea Balasa
Publikováno v:
Alzheimer's & Dementia. 17
Autor:
Meemansa Sood, Robbert Harms, Maximilian Bügler, Ioannis Tarnanas, Neva Coello, Holger Fröhlich
Publikováno v:
Alzheimer's & Dementia. 17
Autor:
Daniel Domingo-Fernández, Maximilian Buegler, Andrew P. Owens, Alzheimer's Disease Neuroimaging Initiative, Thomas Lordick, Holger Froehlich, Neva Coello, Meemansa Sood, Vaibhav A. Narayan, Colin Birkenbihl, Robbert Harms, Mohamed Aborageh
The use of digital technologies may help to diagnose Alzheimer’s Disease (AD) at the pre-symptomatic stage. However, before implementation into clinical practice, digital measures (DMs) need to be evaluated for their diagnostic benefit compared to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e3d3973fd6baddf9610275f9c285c6
https://doi.org/10.1101/2021.11.07.21265705
https://doi.org/10.1101/2021.11.07.21265705
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
Conventional neuropsychological assessments for Alzheimer’s disease are burdensome and inaccurate at detecting mild cognitive impairment and predicting Alzheimer’s disease risk. Altoida’s Digital Neuro Signature (DNS), a longitudinal cognitive
Autor:
Panayiotis Vlamos, Adria Tort, Themis Exarchos, Giovanni B. Frisoni, Carlo Cavaliere, Irene B. Meier, Claudio Babiloni, Ioannis Tarnanas, Robert Whelan, Maha Kozori, Robbert Harms, Andrea Soricelli, Rory Boyle, Michaela Rampini, Emilio Merlo-Pich, Raquel Sánchez-Valle, Magda Tsolaki, Mircea Balasa, Laura Rai, Eutuxia Lazarou, Maximilian Buegler
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020)
Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
Background Research investigating treatments and interventions for cognitive decline fail due to difficulties in accurately recognizing behavioral signatures in the presymptomatic stages of the disease. For this validation study, we took our previous