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Devices and Vaccines

Latest AI and machine learning research in devices and vaccines for healthcare professionals.

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Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework.

BACKGROUND AND OBJECTIVE: Malposition of the acetabular component causes dislocation and prosthetic ...

Machine learning-based identification of hip arthroplasty designs.

BACKGROUND: The purposes of this study were to develop a machine learning-based implant recognition ...

Ceftolozane-tazobactam in an elastomeric infusion device for ambulatory care: an in vitro stability study.

OBJECTIVES: Published in vitro stability data for ceftolozane-tazobactam supports intermittent short...

Effect of experimental infectious bursal disease virus on clinical signs and pathogenesis of avian influenza virus HN in turkey by real time PCR.

Infectious bursal disease virus (IBDV) in turkeys may result in immunosuppression, and inability of ...

ISFET and Dex-AgNPs based portable sensor for reusable and real-time determinations of concanavalin A and glucose on smartphone.

In this paper, a portable real-time sensing device was built for Concanavalin A (Con A) and glucose ...

Non-Fusion Surgical Correction of Thoracic Idiopathic Scoliosis Using a Novel, Braided Vertebral Body Tethering Device: Minimum Follow-up of 4 Years.

UNLABELLED: Anterior vertebral body tethering to effect scoliosis correction in a growing spine has ...

CT based measurement of anatomical dimensions of femur and its relevance in nail designs for proximal femoral fractures.

INTRODUCTION: The purpose of this study was to obtain computed tomography (CT) based measurements of...

Immunogenicity and safety of a 12-valent pneumococcal conjugate vaccine in infants aged 6-10 weeks: a randomized double-blind active-controlled trial.

BACKGROUND: Pneumococcal diseases among children aged <5 years worldwide are associated with high an...

Broad-specificity ELISA with a heterogeneous strategy for sensitive detection of microcystins and nodularin.

A highly sensitive and broadly specific competitive indirect enzyme-linked immunosorbent assay (ciEL...

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

PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vacc...

Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks.

Continuous kinematic monitoring of runners is crucial to inform runners of inappropriate running hab...

Verification with the utility of an established rapid assessment of brain safety for newly developed vaccines.

In the twenty-first century, high contagious infectious diseases such as SARS (Severe Acute Respirat...

A dual-stream deep convolutional network for reducing metal streak artifacts in CT images.

Machine learning and deep learning are rapidly finding applications in the medical imaging field. In...

Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance.

Identification of active electrodes that record task-relevant neurophysiological activity is needed ...

Environment-Adaptable Artificial Visual Perception Behaviors Using a Light-Adjustable Optoelectronic Neuromorphic Device Array.

Emulating the biological visual perception system typically requires a complex architecture includin...

Adaptive-Cognitive Kalman Filter and Neural Network for an Upgraded Nondispersive Thermopile Device to Detect and Analyze Fusarium Spores.

Noises such as thermal noise, background noise or burst noise can reduce the reliability and confide...

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