Infection control / Modes of transmission

Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks.

Recording human gestures from a wearable sensor produces valuable information to implement control gestures or in healthcare services. The wearable sensor is required to be small and easily worn. Advances in miniaturized sensor and materials research produces patchable inertial measurement units (IMUs). In this paper, a hand gesture recognition system using a single patchable six-axis IMU attached...

Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.

Deep learning has emerged as a revolutionary technology for protein residue-residue contact prediction since the 2012 CASP10 competition. Considerable advancements in the predictive power of the deep learning-based contact predictions have been achieved since then. However, little effort has been put into interpreting the black-box deep learning methods. Algorithms that can interpret the relations...

CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy.

Particle identification and selection, which is a prerequisite for high-resolution structure determination of biological macromolecules via single-par...

Can artificial intelligence enable the government to respond more effectively to major public health emergencies? --Taking the prevention and control of Covid-19 in China as an example.

In recent years, public health emergencies have occurred frequently, posing a serious threat to the regional economy and the safety of people's lives ...

A microfluidic robot for rare cell sorting based on machine vision identification and multi-step sorting strategy.

The identification, sorting and analysis of rare target single cells in human blood has always been a clinically meaningful medical challenge. Here, w...

Versatile Soft Robot Gripper Enabled by Stiffness and Adhesion Tuning via Thermoplastic Composite.

Within the field of robotics, stiffness tuning technologies have potential for a variety of applications-perhaps most notably for robotic grasping. Ma...

The 3D reconstructed skin micronucleus assay using imaging flow cytometry and deep learning: A proof-of-principle investigation.

The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative for genotoxicity evaluation of dermally applied che...

Machine learning monitoring for laser osteotomy.

This work proposes a new online monitoring method for an assistance during laser osteotomy. The method allows differentiating the type of ablated tiss...

In silico prediction of chemical acute contact toxicity on honey bees via machine learning methods.

In recent years, the decline of honey bees and the collapse of bee colonies have caught the attention of ecologists, and the use of pesticides is one ...

Angle-closure assessment in anterior segment OCT images via deep learning.

Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in facilitating clinical examination and diagnosis of an...

Machine learning enables design automation of microfluidic flow-focusing droplet generation.

Droplet-based microfluidic devices hold immense potential in becoming inexpensive alternatives to existing screening platforms across life science app...

Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops.

In agriculture, early detection of plant stresses is advantageous in preventing crop yield losses. Remote sensors are increasingly being utilized for ...

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts.

Predicting compound-protein affinity is beneficial for accelerating drug discovery. Doing so without the often-unavailable structure data is gaining i...

Soft Graspers for Safe and Effective Tissue Clutching in Minimally Invasive Surgery.

OBJECTIVE: Surgical graspers must be safe, not to damage tissue, and effective, to establish a stable contact for operation. For conventional rigid gr...

How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future.

The clinical severity, rapid transmission and human losses due to coronavirus disease 2019 (Covid-19) have led the World Health Organization to declar...

Determining Potassium Bromate in the Inhalable Aerosol Fraction in Workplace Air with Ion Chromatography.

BACKGROUND: The article presents the results of studies performed in order to develop a new method of airborne potassium bromate(V) determination at w...

Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis.

Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagnostic regimes rely on allergy testing, exposure spe...

Detection of eye contact with deep neural networks is as accurate as human experts.

Eye contact is among the most primary means of social communication used by humans. Quantification of eye contact is valuable as a part of the analysi...

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

Early and accurate diagnosis of Coronavirus disease (COVID-19) is essential for patient isolation and contact tracing so that the spread of infection ...

Accuracy of dental implant surgery with robotic position feedback and registration algorithm: An in-vitro study.

BACKGROUND: The purpose of this study was to develop and validate a positioning method with hand-guiding and contact position feedback of robot based ...