Acta obstetricia et gynecologica Scandinavica
Aug 25, 2015
INTRODUCTION: This study was designed to evaluate the feasibility and lymphatic complications of robotic pelvic and infrarenal paraaortic lymphadenectomy in endometrial cancer patients.
Clinical pharmacology in drug development
Aug 24, 2015
Inhaled, long-acting bronchodilators represent a cornerstone of maintenance treatment for chronic obstructive pulmonary disease (COPD). Aclidinium bromide/formoterol fumarate 400/12 μg fixed-dose combination (FDC) has recently been licensed for use i...
Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related to changes in the genomic profile of tumors. We investigated correspondence between growth inhibitory concentrations of paclitaxel and gemcitabine (GI5...
We present the design, and analyze the performance of a multi-stage natural language processing system employing named entity recognition, Bayesian statistics, and rule logic to identify and characterize heart disease risk factor events in diabetic p...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexible statistical methods for estimating center-level effects on individual outcomes in the context of...
BACKGROUND: A brain-machine interface (BMI) should be able to help people with disabilities by replacing their lost motor functions. To replace lost functions, robot arms have been developed that are controlled by invasive neural signals. Although in...
Journal of neuroengineering and rehabilitation
Aug 20, 2015
BACKGROUND: Robots offer an alternative, potentially advantageous method of providing repetitive, high-dosage, and high-intensity training to address the gait impairments caused by stroke. In this study, we compared the effects of the Stride Manageme...
Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potential of recovery remains difficult. Here we used multivariate support vector machine (SVM) classificati...
Automatic sleep stage classification with cardiorespiratory signals has attracted increasing attention. In contrast to the traditional manual scoring based on polysomnography, these signals can be measured using advanced unobtrusive techniques that a...
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