AIMC Topic: Antiparkinson Agents
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A machine learning and network framework to discover new indications for small molecules.
PLoS computational biology
Aug 7, 2020
Drug repurposing, identifying novel indications for drugs, bypasses common drug development pitfalls to ultimately deliver therapies to patients faster. However, most repurposing discoveries have been led by anecdotal observations (e.g. Viagra) or ex...
Identifying drugs with disease-modifying potential in Parkinson's disease using artificial intelligence and pharmacoepidemiology.
Pharmacoepidemiology and drug safety
May 14, 2020
PURPOSE: The aim of the study was to assess the feasibility of an approach combining computational methods and pharmacoepidemiology to identify potentially disease-modifying drugs in Parkinson's disease (PD).
Integrated robotics platform with haptic control differentiates subjects with Parkinson's disease from controls and quantifies the motor effects of levodopa.
Journal of neuroengineering and rehabilitation
Oct 26, 2019
BACKGROUND: The use of integrated robotic technology to quantify the spectrum of motor symptoms of Parkinson's Disease (PD) has the potential to facilitate objective assessment that is independent of clinical ratings. The purpose of this study is to ...
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects.
IEEE journal of biomedical and health informatics
Sep 26, 2019
Motor fluctuations are a frequent complication in patients with Parkinson's disease (PD) where the response to medication fluctuates between ON states (medication working) and OFF states (medication has worn off). This paper describes a new data anal...
Evaluation of a sensor algorithm for motor state rating in Parkinson's disease.
Parkinsonism & related disorders
Mar 26, 2019
INTRODUCTION: A treatment response objective index (TRIS) was previously developed based on sensor data from pronation-supination tests. This study aimed to examine the performance of TRIS for medication effects in a new population sample with Parkin...
Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features.
Parkinsonism & related disorders
May 5, 2018
INTRODUCTION: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide an objective means to track response to treatment, including side effects such as levodopa-induced dyskinesia. Vision-based systems are advantageous a...
A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.
IEEE journal of biomedical and health informatics
Nov 27, 2017
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment R...
Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.
Artificial intelligence in medicine
Mar 31, 2017
OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the symptoms and significantly improve the quality of life of patients. Since PD is a chronic disease, its efficient monitoring and management is very impor...
Health Status
Parkinson Disease
Predictive Value of Tests
Feasibility Studies
Antiparkinson Agents
Humans
Hypokinesia
Machine Learning
Motor Activity
Retrospective Studies
Upper Extremity
Female
Dyskinesia, Drug-Induced
Severity of Illness Index
Sweden
Diagnosis, Computer-Assisted
Aged
Time Factors
Male
Image Processing, Computer-Assisted
Middle Aged
Treatment Outcome
Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning.
Scientific reports
Mar 28, 2017
There is growing interest in the potential of neuroimaging to help develop non-invasive biomarkers in neurodegenerative diseases. In this study, connection-wise patterns of functional connectivity were used to distinguish Parkinson's disease patients...
Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease.
Brain stimulation
Jun 15, 2015
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic region is an established therapy for advanced Parkinson's disease (PD). However, patients often require time-intensive post-operative management to balance their coupled stimulation and medi...
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