Startup tech helps Parkinson’s disease patients track symptoms

Startup tech helps Parkinson’s disease patients track symptoms

Mario Aguilar covers technology in health care, including artificial intelligence, virtual reality, wearable devices, telehealth, and…

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Machine learning in Alzheimer’s disease genetics

Machine learning in Alzheimer’s disease genetics

School of Medicine, Cardiff University, Cardiff, UK Matthew Bracher-Smith, Julie Williams, Nicola Denning, Alun Meggy & Valentina Escott-Price Centre for Neuropsychiatric…

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Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease

Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease

Datasets overview and beta diversity analysis We processed a total of 4489 samples obtained from 22…

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Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques

Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques

The proposed methodology is aimed at classifying whether a patient has PD or not by analyzing…

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Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

The implementation of the proposed method was conducted in the Jupyter Notebook integrated development environment (IDE).…

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Exploring advancements in cardiovascular disease monitoring

Exploring advancements in cardiovascular disease monitoring

Overview of different types of HSs measuring devices for the diagnosis of diseases. HS, heart sound.…

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