Sports Medicine

Systematic review of guidelines to identify recommendations for upper limb robotic rehabilitation after stroke.

INTRODUCTION: Upper limb motor impairment is one of the most frequent stroke consequences. Robot the...

Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

BACKGROUND: Hand rehabilitation is core to helping stroke survivors regain activities of daily livin...

Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study.

BACKGROUND: Robotic rehabilitation after stroke provides the potential to increase and carefully con...

Smartphone-based human fatigue level detection using machine learning approaches.

Human muscle fatigue is the main result of diminishing muscle capability, leading to reduced perform...

Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis.

PURPOSE: In patients presenting with blunt hepatic injury (BHI), the utility of CT for triage to hep...

Mechanics and Morphological Compensation Strategy for Trimmed Soft Whisker Sensor.

Recent studies have been inspired by natural whiskers for a proposal of tactile sensing system to au...

Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure.

BACKGROUND: Drug-induced liver injury (DILI) is a major safety concern characterized by a complex an...

Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.

PURPOSE: To (1) develop and validate a machine learning algorithm to predict clinically significant ...

Resting-state magnetoencephalography source magnitude imaging with deep-learning neural network for classification of symptomatic combat-related mild traumatic brain injury.

Combat-related mild traumatic brain injury (cmTBI) is a leading cause of sustained physical, cogniti...

Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.

The advent of inexpensive and rapid sequencing technologies has allowed bacterial whole-genome seque...

Autoperforation of two-dimensional materials to generate colloidal state machines capable of locomotion.

A central ambition of the robotics field has been to increasingly miniaturize such systems, with per...

Use of Machine Learning to Re-Assess Patterns of Multivariate Functional Recovery after Fluid Percussion Injury: Operation Brain Trauma Therapy.

Traumatic brain injury (TBI) is a leading cause of death and disability. Yet, despite immense resear...

An ensemble learning approach for modeling the systems biology of drug-induced injury.

BACKGROUND: Drug-induced liver injury (DILI) is an adverse reaction caused by the intake of drugs of...

Research on Early Warning Mechanism and Model of Liver Cancer Rehabilitation Based on CS-SVM.

Since the 20 century, cancer has become one of the main diseases threatening human health. Liver can...

Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction.

MOTIVATION: Drug-induced liver injury (DILI) is one of the primary problems in drug development. Ear...

An Untethered Soft Robot Based on Liquid Crystal Elastomers.

An untethered, soft robot using liquid crystal elastomer (LCE) actuators, onboard power, and wireles...

Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects.

OBJECTIVE: To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic mon...

Photodynamic Therapy With Propolis: Antibacterial Effects on and Escherichia coli Analysed by Atomic Force Microscopy.

Photodynamic therapy (PDT) is a process that uses a light source (e.g. laser), oxygen molecules and...

Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.

PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant...

DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level Representation.

Drug-induced liver injury (DILI) is the most frequently reported single cause of safety-related with...

Benefits of robotic gait rehabilitation in cerebral palsy: lessons to be learned.