Work Force

A generic deep convolutional neural network framework for prediction of receptor-ligand interactions-NetPhosPan: application to kinase phosphorylation prediction.

MOTIVATION: Understanding the specificity of protein receptor-ligand interactions is pivotal for our comprehension of biological mechanisms and systems. Receptor protein families often have a certain level of sequence diversity that converges into fewer conserved protein structures, allowing the exertion of well-defined functions. T and B cell receptors of the immune system and protein kinases tha...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been shown to be susceptible to ethnic, gender, and social bias, which has important implications in the development of AI algorithms in health care and the radiologic sciences. To prevent the introduction bias in health care AI, the physician community should work with developers and regulators to develop p...

On the Potential for Open-Endedness in Neural Networks.

Natural evolution gives the impression of leading to an open-ended process of increasing diversity and complexity. If our goal is to produce such open...

Comparative Effects of Different Assistance Force During Robot-Assisted Gait Training on Locomotor Functions in Patients With Subacute Stroke: An Assessor-Blind, Randomized Controlled Trial.

OBJECTIVE: The aim of the study was to compare the effects of progressive reducing assistance force versus full assistance force controlled robot-assi...

Automated Rating of Multiple Sclerosis Test Results Using a Convolutional Neural Network.

This work concerns methods for automated rating of the progression of Multiple Sclerosis (MS). Often, MS patients develop cognitive deficits. The Brie...

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target deli...

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care.

Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of dom...

A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory disea...

Anticipating and Training the Physician of the Future: The Importance of Caring in an Age of Artificial Intelligence.

Artificial intelligence and other forms of information technology are only just beginning to change the practice of medicine. The pace of change is ex...

A 3D Convolutional Neural Network Framework for Polyp Candidates Detection on the Limited Dataset of CT Colonography.

Proper training of convolutional neural networks (CNNs) requires annotated training datasets oflarge size, which are not currently available in CT col...

Impedance Model of the Interaction Between Environment and Human Body and Its Modification Design.

This paper presents a model of environment-human body interaction, which is critical for us to perform balanced motions such as locomotion and activit...

Assessment of Robot Interventions in a Task-based Rehabilitation: a case study.

This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation procedure. Robotic devices have significantly been u...

Energetics during robot-assisted training predicts recovery in stroke.

Clinical investigators have asserted patients should be active participants in the therapy process in stroke rehabilitation. While robotics introduces...

Sensibility Assessment For User Interface And Training Program Of An Upper-Limb Rehabilitation Robot, D-SEMUL.

Upper-limb rehabilitation training for hemiplegic patients has been primarily conducted by human therapists, and, hence, their use of training methods...

Validation of Improvements of Robotic Devices for Nursing Care using a Sensing Dummy Simulating Human Body.

The population in advanced countries is rapidly aging, and these countries are faced with various issues pertaining to the rapidly aging population. I...

Using Unsupervised Machine Learning to Identify Subgroups Among Home Health Patients With Heart Failure Using Telehealth.

This study explored the use of unsupervised machine learning to identify subgroups of patients with heart failure who used telehealth services in the ...

Expectations for the Next Generation of Simulated Patients Born from Thoughtful Anticipation of Artificial Intelligence-Equipped Robot.

It is predicted that in the near future robot simulated patients (SPs) will come into use. Through the impressions of five SPs about robot SPs, we exp...

The role of vitamin D in the human body with a special emphasis on dental issues: Literature review.

The aim of the study was to review the current literature on the role of vitamin D in dentistry. The term vitamin D is defined as a group of compounds...

Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for...

[Effects of Soil Microbial Diversity on the Phosphate Fraction in the Rhizosphere of in the Yeyahu Wetland in Beijing, China].

In this research, microorganisms in rhizosphere/non-rhizosphere soils of in the Yeyahu Wetland were studied. A sequential extraction procedure was us...