Staffing & Scheduling

Study on screening potential allergenic proteins from infant milk powders based on human mast cell membrane chromatography and histamine release assays.

Cow's milk allergy is mainly observed in infants and young children. Most allergic reactions affect ...

Nanocomplexes composed of chitosan derivatives and β-Lactoglobulin as a carrier for anthocyanins: Preparation, stability and bioavailability in vitro.

To improve sustained-release property, stability and bioavailability of anthocyanins (ACNs) in vitro...

A marker-based contactless catheter-sensing method to detect surgeons' operations for catheterization training systems.

It is challenging to position a catheter or a guidewire within a patient's complicated and delicate ...

A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training.

BACKGROUND: We described a novel multi-step retinal fundus image reading system for providing high-q...

A Robotic System for Adaptive Training and Function Assessment of Forelimb Retraction in Mice.

Rodent models are decisive for translational research in healthy and pathological conditions of moto...

Evolution of a Novel Robotic Training Curriculum in a Complex General Surgical Oncology Fellowship.

BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although cu...

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (...

A robot-based gait training therapy for pediatric population with cerebral palsy: goal setting, proposal and preliminary clinical implementation.

BACKGROUND: The use of robotic trainers has increased with the aim of improving gait function in pat...

Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training.

This paper presents a new method to reduce the computational cost when using Neural Networks as Lang...

Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning.

Many medical image segmentation methods are based on the supervised classification of voxels. Such m...

Effective injury forecasting in soccer with GPS training data and machine learning.

Injuries have a great impact on professional soccer, due to their large influence on team performanc...

Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.

The safety of medication use has been a priority in the United States since the late 1930s. Recently...

Training sparse least squares support vector machines by the QR decomposition.

The solution of an LS-SVM has suffered from the problem of non-sparseness. The paper proposed to app...

Robot-assisted training using Hybrid Assistive Limb® for cerebral palsy.

PURPOSE: The Hybrid Assistive Limb® (HAL®, CYBERDYNE) is a wearable robot that provides assistance t...

The effects of error-augmentation versus error-reduction paradigms in robotic therapy to enhance upper extremity performance and recovery post-stroke: a systematic review.

Despite upper extremity function playing a crucial role in maintaining one's independence in activit...

Using a deep learning network to recognise low back pain in static standing.

Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms th...

Analysis of the adsorption and retention models for Cd, Cr, Cu, Ni, Pb, and Zn through neural networks: selection of variables and competitive model.

In this study, the neural networks are used to predict and explain the behavior of different edaphol...

Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review.

Big data analysis has become a common way to extract information from complex and large datasets amo...

Current Applications and Future Impact of Machine Learning in Radiology.

Recent advances and future perspectives of machine learning techniques offer promising applications ...

Translation of robot-assisted rehabilitation to clinical service: a comparison of the rehabilitation effectiveness of EMG-driven robot hand assisted upper limb training in practical clinical service and in clinical trial with laboratory configuration for chronic stroke.

BACKGROUND: Rehabilitation robots can provide intensive physical training after stroke. However, var...

Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training.