[HTML][HTML] How machine learning will transform biomedicine
This Perspective explores the application of machine learning toward improved diagnosis
and treatment. We outline a vision for how machine learning can transform three broad …
and treatment. We outline a vision for how machine learning can transform three broad …
[HTML][HTML] Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
Remote smartphone monitoring of Parkinson's disease and individual response to therapy
Remote health assessments that gather real-world data (RWD) outside clinic settings
require a clear understanding of appropriate methods for data collection, quality …
require a clear understanding of appropriate methods for data collection, quality …
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson's disease
R Powers, M Etezadi-Amoli, EM Arnold… - Science translational …, 2021 - science.org
Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
Using smartphones and machine learning to quantify Parkinson disease severity: the mobile Parkinson disease score
Importance Current Parkinson disease (PD) measures are subjective, rater-dependent, and
assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived …
assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived …
Technology in Parkinson's disease: challenges and opportunities
The miniaturization, sophistication, proliferation, and accessibility of technologies are
enabling the capture of more and previously inaccessible phenomena in Parkinson's …
enabling the capture of more and previously inaccessible phenomena in Parkinson's …
Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects
L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2021 - Elsevier
Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
F Lipsmeier, KI Taylor, T Kilchenmann… - Movement …, 2018 - Wiley Online Library
Background: Ubiquitous digital technologies such as smartphone sensors promise to
fundamentally change biomedical research and treatment monitoring in neurological …
fundamentally change biomedical research and treatment monitoring in neurological …
An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things
Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …
more efficient system is required to cope with the growing world population and increased …