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Automatic recognition of gait patterns in human motor disorders using machine learning: A review.

Medical engineering & physics
BACKGROUND: automatic recognition of human movement is an effective strategy to assess abnormal gait patterns. Machine learning approaches are mainly applied due to their ability to work with multidimensional nonlinear features.

Artificial Intelligence Estimation of Carotid-Femoral Pulse Wave Velocity using Carotid Waveform.

Scientific reports
In this article, we offer an artificial intelligence method to estimate the carotid-femoral Pulse Wave Velocity (PWV) non-invasively from one uncalibrated carotid waveform measured by tonometry and few routine clinical variables. Since the signal pro...
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A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency.

Cell cycle (Georgetown, Tex.)
Personalized medicine implies that distinct treatment methods are prescribed to individual patients according several features that may be obtained from, e.g., gene expression profile. The majority of machine learning methods suffer from the deficien...

Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

European journal of pain (London, England)
BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving several types of sensors. A recent observation has been the multimodal distribution of human cold pain thresholds. This study aimed at analysing reprod...

Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity.

Human brain mapping
Despite significant progress in the field, the detection of fMRI signal changes during hallucinatory events remains difficult and time-consuming. This article first proposes a machine-learning algorithm to automatically identify resting-state fMRI pe...

Cooperating with machines.

Nature communications
Since Alan Turing envisioned artificial intelligence, technical progress has often been measured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go). Less attention has been given to scenarios in which human-machine coo...

A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning.

BioMed research international
Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic genes, we aimed to develop a novel system-level risk stratification model for lung adenocarcinoma b...

Robot-assisted upper extremity rehabilitation for cervical spinal cord injuries: a systematic scoping review.

Disability and rehabilitation. Assistive technology
UNLABELLED: Abstact Purpose: To provide an overview of the feasibility and outcomes of robotic-assisted upper extremity training for individuals with cervical spinal cord injury (SCI), and to identify gaps in current research and articulate future re...

An overview of robotic/mechanical devices for post-stroke thumb rehabilitation.

Disability and rehabilitation. Assistive technology
PURPOSE: This article aims to clarify the current state-of-the-art of robotic/mechanical devices for post-stroke thumb rehabilitation as well as the anatomical characteristics and motions of the thumb that are crucial for the development of any devic...