Work Force

Accuracy and data efficiency in deep learning models of protein expression.

Synthetic biology often involves engineering microbial strains to express high-value proteins. Thank...

Parallel, component training in robotic total mesorectal excision.

There has been widespread adoption of robotic total mesorectal excision (TME) for rectal cancer in r...

Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning.

The control of porcine reproductive and respiratory syndrome (PRRS) remains a significant challenge ...

Multi-layer perceptron classification & quantification of neuronal survival in hypoxic-ischemic brain image slices using a novel gradient direction, grey level co-occurrence matrix image training.

Hypoxic ischemic encephalopathy (HIE) is a major global cause of neonatal death and lifelong disabil...

Robot-assisted rehabilitation training improves knee function and daily activity ability in older adults following total knee arthroplasty.

To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily act...

Variable three-term conjugate gradient method for training artificial neural networks.

Artificial neural networks (ANNs) have been widely adopted as general computational tools both in co...

Feasibility and Safety of a Powered Exoskeleton for Balance Training for People Living with Multiple Sclerosis: A Single-Group Preliminary Study (Rapper III).

OBJECTIVE: To evaluate the feasibility, usability, safety, and potential health benefits of using an...

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks.

Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and inertial measure...

Immersive Virtual Reality during Robot-Assisted Gait Training: Validation of a New Device in Stroke Rehabilitation.

Background and objective: Duration of rehabilitation and active participation are crucial for gait r...

Robotic training for medical students: feasibility of a pilot simulation curriculum.

While robotic procedures are growing rapidly, medical students have a limited role in robotic surger...

Cost analysis of training residents in robotic-assisted surgery.

INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to hi...

The effect of the 2-UPS/RR ankle rehabilitation robot with coupling biomechanical model on muscle behaviors.

With the popularization of biomechanical simulation technology, aiming at the rehabilitation of ankl...

Using Simulated Training Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction.

Reconstructing neuron morphologies from fluorescence microscope images plays a critical role in neur...

Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent responsible ...

Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.

Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence a...

Artificial Intelligence Training in Canadian Dermatology to Increase Dermatologists Engagement and Enhance Medical Practice.

Subarchitecture Ensemble Pruning in Neural Architecture Search.

Neural architecture search (NAS) is gaining more and more attention in recent years because of its f...

Efficacy and Safety of the "Trisection Method" Training System for Robot-Assisted Radical Cystectomy at a Single Institution in Japan.

To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...

Artificial intelligence techniques for neuropathological diagnostics and research.

Artificial intelligence (AI) research began in theoretical neurophysiology, and the resulting classi...

Simple add-on robotic traction device to the conventional endoscope: Will it be an efficient and safe tool for novice training on endoscopic submucosal dissection?

A large-scale neural network training framework for generalized estimation of single-trial population dynamics.

Achieving state-of-the-art performance with deep neural population dynamics models requires extensiv...