Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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The impact of robot-mediated adaptive I-TRAVLE training on impaired upper limb function in chronic stroke and multiple sclerosis.

PURPOSE: The current study aimed to investigate proof-of-concept efficacy of an individualized, robo...

The relationship of high-intensity cross-training with arterial stiffness.

BACKGROUND: Central arterial stiffness is a cardiovascular risk factor that can be readily affected ...

Machine learning and docking models for Mycobacterium tuberculosis topoisomerase I.

There is a shortage of compounds that are directed towards new targets apart from those targeted by ...

Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism.

Safety is one of the crucial issues for robot-aided neurorehabilitation exercise. When it comes to t...

Feasibility and safety of early lower limb robot-assisted training in sub-acute stroke patients: a pilot study.

BACKGROUND: So far, the development of robotic devices for the early lower limb mobilization in the ...

The effectiveness of robotic-assisted gait training for paediatric gait disorders: systematic review.

BACKGROUND: Robotic-assisted gait training (RAGT) affords an opportunity to increase walking practic...

Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimula...

Effectiveness of endurance exercise training in patients with coronary artery disease: A meta-analysis of randomised controlled trials.

BACKGROUND: Exercise interventions apparently reduce the risks of and prevent coronary artery diseas...

Characterization of T and B cell repertoire diversity in patients with RAG deficiency.

Recombination-activating genes 1 and 2 ( and ) play a critical role in T and B cell development by i...

Training the Unimpaired Arm Improves the Motion of the Impaired Arm and the Sitting Balance in Chronic Stroke Survivors.

Robot-assisted rehabilitation of stroke survivors mainly focuses on the impaired side of the body wh...

An information-based machine learning approach to elasticity imaging.

An information-based technique is described for applications in mechanical property imaging of soft ...

Locomotor training through a novel robotic platform for gait rehabilitation in pediatric population: short report.

BACKGROUND: Cerebral Palsy (CP) is a disorder of posture and movement due to a defect in the immatur...

A New Data Representation Based on Training Data Characteristics to Extract Drug Name Entity in Medical Text.

One essential task in information extraction from the medical corpus is drug name recognition. Compa...

Comparison of exercise training effect with different robotic devices for upper limb rehabilitation: a retrospective study.

BACKGROUND: Several robotic devices have been proposed for upper limb rehabilitation, but they diffe...

Detection of small colon bleeding in wireless capsule endoscopy videos.

In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in...

Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man.

The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced ...

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