Devices and Vaccines

Comparison between navigated reported position and postoperative computed tomography to evaluate accuracy in a robotic navigation system in total knee arthroplasty.

BACKGROUND: Computer navigation increases reproducibility compared to non-navigated total knee arthr...

Seroprevalence of antibodies for pertussis and diphtheria among people leaving or entering China: a cross-sectional study.

INTRODUCTION: Despite high population immunity, pertussis remains one of the leading causes of vacci...

Reduction of operator radiation exposure using a passive robotic device during fluoroscopy-guided arterial puncture: an experimental study in a swine model.

BACKGROUND: Vascular interventions imply radiation exposure to the operating physician (OP). To redu...

Supervised methods to extract clinical events from cardiology reports in Italian.

Clinical narratives are a valuable source of information for both patient care and biomedical resear...

MHCSeqNet: a deep neural network model for universal MHC binding prediction.

BACKGROUND: Immunotherapy is an emerging approach in cancer treatment that activates the host immune...

Approximate neural optimal control with reinforcement learning for a torsional pendulum device.

A torsional pendulum device containing hyperbolic tangent input nonlinearities can be formulated as ...

Neural network model of an amphibian ventilatory central pattern generator.

The neuronal multiunit model presented here is a formal model of the central pattern generator (CPG)...

Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography.

Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronizati...

Intensive upper limb therapy including a robotic device after surgically repaired brachial plexus injury: a case study.

Robotics in Dental Implantology.

Robotic surgery is no longer a fiction and its clinical applications are rapidly developing. Robotic...

Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessi...

Construction and optimization of a 'NG Morbidostat' - An automated continuous-culture device for studying the pathways towards antibiotic resistance in .

To obtain a detailed picture of the dynamics of antibiotic resistance development in , we built a mo...

Development of a robotic walker for individuals with cerebral palsy.

This study describes the first use of a robotic walker in youth and young adults with cerebral pals...

Likelihood-Based Methods for Assessing Principal Surrogate Endpoints in Vaccine Trials.

When evaluating principal surrogate biomarkers in vaccine trials, missingness in potential outcomes ...

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific d...

Enabling artificial intelligence in high acuity medical environments.

Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in ...

Robot-assisted laparoscopic midureteral stricture repair and percutaneous stent placement in an infant.

Mid-ureteral strictures in infants are a rare cause of hydronephrosis. In this surgical technique vi...

Cardiac Rhythm Device Identification Using Neural Networks.

OBJECTIVES: This paper reports the development, validation, and public availability of a new neural ...

Organic Synapses for Neuromorphic Electronics: From Brain-Inspired Computing to Sensorimotor Nervetronics.

Living organisms have a long evolutionary history that has provided them with functions and structur...

Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems.

In this study, we investigate a proton-based three-terminal (3-T) synapse device to realize linear w...

Simulating speech processing with cochlear implants: How does channel interaction affect learning in neural networks?

We introduce a novel machine learning approach for investigating speech processing with cochlear imp...