Pediatrics

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development.

In the multidisciplinary field of developmental cognitive neuroscience, statistical associations bet...

Collating the knowledge base for core outcome set development: developing and appraising the search strategy for a systematic review.

BACKGROUND: The COMET (Core Outcome Measures in Effectiveness Trials) Initiative is developing a pub...

Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for th...

Proliferative activity of a blend of Echinacea angustifolia and Echinacea purpurea root extracts in human vein epithelial, HeLa, and QBC-939 cell lines, but not in Beas-2b cell lines.

Echinacea is used for its immunostimulating properties and may have a role in modulating adverse imm...

Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic de...

How to decide which infant can have robotic surgery? Just do the math.

BACKGROUND: In pediatric urology, robot-assisted surgery has overcome several impediments of convent...

Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Seizures below one minute in duration are difficult to assess correctly using seizure detection algo...

Developmental time windows for axon growth influence neuronal network topology.

Early brain connectivity development consists of multiple stages: birth of neurons, their migration ...

Development of a novel fingerprint for chemical reactions and its application to large-scale reaction classification and similarity.

Fingerprint methods applied to molecules have proven to be useful for similarity determination and a...

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebro...

Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.

Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture...

Hybrid laparoscopic-robotic management of type IVa choledochal cyst in the setting of prior Roux-en-Y gastric bypass: video case report and review of the literature.

BACKGROUND: Choledochal cysts are rare congenital disease of the biliary system. The recommended tre...

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. M...

Minimally invasive pediatric urologic surgery.

Laparoscopic nephrectomy and partial nephrectomy: intraperitoneal, retroperitoneal, single site.

The indication for use of laparoscopy, in the pediatric population, was initially for diagnostic pur...

Towards an intelligent framework for multimodal affective data analysis.

An increasingly large amount of multimodal content is posted on social media websites such as YouTub...

The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care i...

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.

OBJECTIVES: (1) To develop an automated eligibility screening (ES) approach for clinical trials in a...

Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospi...

Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...