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LRRK2 in Parkinson disease: challenges of clinical trials
One of the most common monogenic forms of Parkinson disease (PD) is caused by
mutations in the LRRK2 gene that encodes leucine-rich repeat kinase 2 (LRRK2). LRRK2 …
mutations in the LRRK2 gene that encodes leucine-rich repeat kinase 2 (LRRK2). LRRK2 …
Voice for health: the use of vocal biomarkers from research to clinical practice
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects
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 …
Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
Background Identification of reliable, affordable, and easy-to-use strategies for detection of
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …
[HTML][HTML] Develo** a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice
Recent studies have demonstrated that analysis of laboratory-quality voice recordings can
be used to accurately differentiate people diagnosed with Parkinson's disease (PD) from …
be used to accurately differentiate people diagnosed with Parkinson's disease (PD) from …
Identifying individuals with recent COVID-19 through voice classification using deep learning
P Suppakitjanusant, S Sungkanuparph, T Wongsinin… - Scientific reports, 2021 - nature.com
Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …
of images due mainly to convolutional neural networks. In the present study, we attempted to …
Remote assessment of Parkinson's disease symptom severity using the simulated cellular mobile telephone network
Telemonitoring of Parkinson's Disease (PD) has attracted considerable research interest
because of its potential to make a lasting, positive impact on the life of patients and their …
because of its potential to make a lasting, positive impact on the life of patients and their …
Assessing Parkinson's disease at scale using telephone-recorded speech: insights from the Parkinson's voice initiative
Numerous studies have reported on the high accuracy of using voice tasks for the remote
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …
Smartphone speech testing for symptom assessment in rapid eye movement sleep behavior disorder and Parkinson's disease
Speech impairment in Parkinson's Disease (PD) has been extensively studied. Our
understanding of speech in people who are at an increased risk of develo** PD is …
understanding of speech in people who are at an increased risk of develo** PD is …
Voice as a Biomarker in Health‐Tech: Map** the Evolving Landscape of Voice Biomarkers in the Start‐Up World
Objective The vocal biomarkers market was worth 1.9Bin2021andisprojectedtoexceed 5.1 B
by 2028, for a compound annual growth rate of 15.15%. The investment growth …
by 2028, for a compound annual growth rate of 15.15%. The investment growth …