Parkinson's Disease

Worldwide diffusion of robotic approach in general surgery.

The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vi...

Accuracy of Smartphone Video for Contactless Measurement of Hand Tremor Frequency.

BACKGROUND: Computer vision can measure movement from video without the time and access limitations ...

Next-Generation Bioelectric Medicine: Harnessing the Therapeutic Potential of Neural Implants.

Bioelectric medicine leverages natural signaling pathways in the nervous system to counteract organ ...

Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration.

Due to its importance in clinical science, the estimation of physiological states (e.g., the severit...

Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques.

Parkinson's Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1...

Simultaneously Detecting Monoamine Oxidase A and B in Disease Cell/Tissue Samples Using Paper-Based Devices.

As enzymes in the outer membrane of the mitochondrion, monoamine oxidases (MAOs) can catalyze the ox...

An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images.

Accurate diagnosis of Parkinson's Disease (PD) at its early stages remains a challenge for modern cl...

Using machine learning-based analytics of daily activities to identify modifiable risk factors for falling in Parkinson's disease.

BACKGROUND: Although risk factors that lead to falling in Parkinson's disease (PD) have been previou...

Robot-assisted adrenalectomy: state of the art.

Currently, laparoscopic adrenalectomy is worldwide considered the gold standard technique. Both tran...

Quantitative neurotoxicology: Potential role of artificial intelligence/deep learning approach.

Neurotoxicity studies are important in the preclinical stages of drug development process, because e...

Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease.

Animal models of human disease provide an system that can reveal molecular mechanisms by which muta...

Performance of Force-Field- and Machine Learning-Based Scoring Functions in Ranking MAO-B Protein-Inhibitor Complexes in Relevance to Developing Parkinson's Therapeutics.

Monoamine oxidase B (MAOB) is expressed in the mitochondrial membrane and has a key role in degradin...

Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers.

Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow improvements in asses...

Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing.

Mild cognitive impairment (MCI), an identified prodromal stage of Alzheimer's Disease (AD), often ev...

Cryostructuring of Polymeric Systems : Application of Deep Neural Networks for the Classification of Structural Features Peculiar to Macroporous Poly(vinyl alcohol) Cryogels Prepared without and with the Additives of Chaotropes or Kosmotropes.

Macroporous poly(vinyl alcohol) cryogels (PVACGs) are physical gels formed via cryogenic processing ...

Key Physicochemical Properties Dictating Gastrointestinal Bioaccessibility of Microplastics-Associated Organic Xenobiotics: Insights from a Deep Learning Approach.

A potential risk from human uptake of microplastics is the release of plastics-associated xenobiotic...

Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach.

BACKGROUND: Parkinson's disease (PD) and essential tremor (ET) are movement disorders that can have ...

ODiNPred: comprehensive prediction of protein order and disorder.

Structural disorder is widespread in eukaryotic proteins and is vital for their function in diverse ...

A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis.

Speech is controlled by axial neuromotor systems, therefore, it is highly sensitive to the effects o...

The effects of light touch cue on gait initiation in patients with Parkinson's disease.

INTRODUCTION: One of the common impairments in patients with Parkinson's disease (PD) is disturbance...

Neural correlates of rehabilitation program with robot-assisted intensive therapy in one case of Holmes tremor.