Devices and Vaccines

Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

In order to determine optimal training parameters for robot-assisted treadmill walking, it is essential to understand how a robotic device interacts with its wearer, and thus, how parameter settings of the device affect locomotor control. The aim of this study was to assess the effect of different levels of guidance force during robot-assisted treadmill walking on cortical activity. Eighteen healt...

A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging.

INTRODUCTION: We developed a machine learning model to predict whether or not a cochlear implant (CI) candidate will develop effective language skills within 2 years after the CI surgery by using the pre-implant brain fMRI data from the candidate.

Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place in integrative biology, not to mention as targets...

Can Natural Language Processing Improve the Efficiency of Vaccine Adverse Event Report Review?

BACKGROUND: Individual case review of spontaneous adverse event (AE) reports remains a cornerstone of medical product safety surveillance for industry...

A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.

Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provide...

Robotically assisted percutaneous coronary intervention: benefits to the patient and the cardiologist.

Robotic percutaneous interventional systems represent the future of interventional cardiology. Robotic technology significantly reduces operator expos...

Robotic-assisted knee arthroplasty.

Robotics in total knee arthroplasty (TKA) has undergone vast improvements. Although some of the systems have fallen out of favor due to safety concern...

Real-Time Classification of Bladder Events for Effective Diagnosis and Treatment of Urinary Incontinence.

Diagnosis of lower urinary tract dysfunction with urodynamics has historically relied on data acquired from multiple sensors using nonphysiologically ...

Surrogate modeling of deformable joint contact using artificial neural networks.

Deformable joint contact models can be used to estimate loading conditions for cartilage-cartilage, implant-implant, human-orthotic, and foot-ground i...

High-order neural networks and kernel methods for peptide-MHC binding prediction.

MOTIVATION: Effective computational methods for peptide-protein binding prediction can greatly help clinical peptide vaccine search and design. Howeve...

Adaptable, high recall, event extraction system with minimal configuration.

BACKGROUND: Biomedical event extraction has been a major focus of biomedical natural language processing (BioNLP) research since the first BioNLP shar...

The impact of precise robotic lesion length measurement on stent length selection: ramifications for stent savings.

BACKGROUND/PURPOSE: Coronary stent deployment outcomes can be negatively impacted by inaccurate lesion measurement and inappropriate stent length sele...

Is peri-operative urethral catheter drainage enough? The case for stentless pediatric robotic pyeloplasty.

BACKGROUND: The necessity for urinary diversion with trans-anastomotic ureteral stenting during pyeloplasty is currently under debate. Performing a st...

Displaying Sensed Tactile Cues with a Fingertip Haptic Device.

Telerobotic systems enable humans to explore and manipulate remote environments for applications such as surgery and disaster response, but few such s...

Understanding safety-critical interactions with a home medical device through Distributed Cognition.

As healthcare shifts from the hospital to the home, it is becoming increasingly important to understand how patients interact with home medical device...

Design of a novel telerehabilitation system with a force-sensing mechanism.

Many stroke patients are expected to rehabilitate at home, which limits their access to proper rehabilitation equipment, treatment, or assessment by t...

A concept ideation framework for medical device design.

Medical device design is a challenging process, often requiring collaboration between medical and engineering domain experts. This collaboration can b...

Spin-transfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems.

Spin-transfer torque magnetic memory (STT-MRAM) is currently under intense academic and industrial development, since it features non-volatility, high...

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 antibodies to neutralize the pathogen or recruit innat...

NIEluter: Predicting peptides eluted from HLA class I molecules.

The immune system has evolved to make a diverse repertoire of peptides processed from self and foreign proteomes, which are displayed in antigen-bindi...