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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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FUpred: detecting protein domains through deep-learning-based contact map prediction.

MOTIVATION: Protein domains are subunits that can fold and function independently. Correct domain bo...

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.

MOTIVATION: The success of genome sequencing techniques has resulted in rapid explosion of protein s...

Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures.

Uncovering the heterogeneity of cellular populations and multicellular constructs is a long-standing...

A ferrobotic system for automated microfluidic logistics.

Automated technologies that can perform massively parallelized and sequential fluidic operations at ...

Analysis of several key factors influencing deep learning-based inter-residue contact prediction.

MOTIVATION: Deep learning has become the dominant technology for protein contact prediction. However...

DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout.

MOTIVATION: Exciting new opportunities have arisen to solve the protein contact prediction problem f...

Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction.

Collaborative robot has been widespread application prospect, such as homes, manufacturing, and heal...

Preliminary Test of the Potential of Contact With Dogs to Elicit Spontaneous Imitation in Children and Adults With Severe Autism Spectrum Disorder.

IMPORTANCE: Finding strategies to enhance imitation skills in people with autism spectrum disorder (...

High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.

This study uses video and a pretrained deep convolutional neural network to analyze facial photoplet...

A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning.

Identifying residue-residue contacts in protein-protein interactions or complex is crucial for under...

Protein contact prediction using metagenome sequence data and residual neural networks.

MOTIVATION: Almost all protein residue contact prediction methods rely on the availability of deep m...

ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.

MOTIVATION: Contact-map of a protein sequence dictates the global topology of structural fold. Accur...

Performance evaluation of neural network assisted motion detection schemes implemented within indoor optical camera based communications.

This paper investigates the performance of the neural network (NN) assisted motion detection (MD) ov...

PconsC4: fast, accurate and hassle-free contact predictions.

MOTIVATION: Residue contact prediction was revolutionized recently by the introduction of direct cou...

Automated Classification of Airborne Pollen using Neural Networks.

Pollen allergies are considered as a global epidemic nowadays, as they influence more than a quarter...

Shoulder-mounted Robot for MRI-Guided Arthrography: Clinically Optimized System.

This paper introduces our compact and lightweight patient-mounted MRI-compatible 4 degree-of-freedom...

Precise Heart Rate Measurement Using Non-contact Doppler Radar Assisted by Machine-Learning-Based Sleep Posture Estimation.

Non-contact and continuous heart rate measurement using Doppler radar is important for various healt...

A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results.

Nowadays, electric-powered hand prostheses do not provide adequate sensory instrumentation and artif...

Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb.

Learning to get by without an arm or hand can be very challenging, and existing prostheses do not ye...

Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study.

Rehabilitation robots can provide high intensity and dosage training or assist patients in activitie...

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