Infection control / Modes of transmission

Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.

With water quality management crucial for environmental sustainability, multiple techniques for real-time monitoring and estimation of water quality parameters have been developed. However, certain data types, such as airborne images, are only accessible from major river systems and are often unavailable for small river systems. This study assessed the feasibility of virtual sensing combined with ...

Enhancing registration accuracy and eminence of multispectral transmission breast images by fusing multi-wavelength gen using vision transformer and LSTM.

Enduring studies in the field of early breast cancer screening are investigating the use of multispectral transmission imaging. The frame accumulation system handles multispectral transmission images with deprived grayscale and unsatisfactory resolution. Nevertheless, the accuracy of the results may be compromised due to the motion caused by human breathing and camera instability during the transi...

Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach.

BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising incidence and outbreaks extending beyond its endemi...

Machine learning strategy secures urban smart drinking water treatment plant through incremental advances.

The integration of machine learning into urban drinking water treatment plants (DWTPs) offers a transformative pathway to ensure drinking water safety...

Real-Time Monitoring of Personal Protective Equipment Adherence Using On-Device Artificial Intelligence Models.

Personal protective equipment (PPE) is crucial for infection prevention and is effective only when worn correctly and consistently. Health organizatio...

Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study.

Cholera, an acute diarrheal disease, is a serious concern in developing and underdeveloped areas. A qualitative understanding of cholera epidemics aim...

A stability-indicating potentiometric platform for assaying Metoprolol succinate and felodipine in their tablets and human plasma.

Solid contact electrodes are prevalent in analytical applications due to their superior performance compared to traditional electrodes. Nonetheless, t...

Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.

Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, in...

Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potential health risks to humans. Automating the process o...

Machine Learning for Quantitative Prediction of Protein Adsorption on Well-Defined Polymer Brush Surfaces with Diverse Chemical Properties.

Polymer informatics has attracted increasing attention because machine learning can establish quantitative structure-property relationships in polymer...

Soft robotic hand with tactile palm-finger coordination.

Soft robotic hands with integrated sensing capabilities hold great potential for interactive operations. Previous work has typically focused on integr...

Integrated Lower Limb Robotic Orthosis with Embedded Highly Oriented Electrospinning Sensors by Fuzzy Logic-Based Gait Phase Detection and Motion Control.

This study introduces an integrated lower limb robotic orthosis with near-field electrospinning (NFES) piezoelectric sensors and a fuzzy logic-based g...

A novel intelligent framework for assessing within-host transmission dynamics of Chikungunya virus using an unsupervised stochastic neural network approach.

In this study, we present a novel intelligent computing framework based on unsupervised random projection neural networks for analyzing the within-hos...

Cooperative Magnetic Interfacial Microrobot Couple for Versatile Non-Contact Biomedical Applications.

Magnetic interfacial microrobots are increasingly recognized as a promising approach for potential biomedical applications ranging from electronic fun...

Predicting mother and newborn skin-to-skin contact using a machine learning approach.

BACKGROUND: Despite the known benefits of skin-to-skin contact (SSC), limited data exists on its implementation, especially its influencing factors. T...

FakET: Simulating cryo-electron tomograms with neural style transfer.

In cryo-electron microscopy, accurate particle localization and classification are imperative. Recent deep learning solutions, though successful, requ...

Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers.

Predicting the unprecedented, nonlinear nature of COVID-19 presents a significant public health challenge. Recent advances in deep learning, such as g...

Research on intelligent routing with VAE-GAN in the internet of body.

The "Internet of Body" is an emerging technology that is centered on the human body and connected to the Internet. It can monitor a variety of human d...

Towards autonomous robotic THz-based in vivo skin sensing: the PicoBot.

Terahertz (THz) light has the unique properties of being very sensitive to water, non-ionizing, and having sub-millimeter depth resolution, making it ...

Discovery of TRPV4-Targeting Small Molecules with Anti-Influenza Effects Through Machine Learning and Experimental Validation.

Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for maintaining intracellular Ca homeostasis and is es...