Infection control / Modes of transmission

Multiplexed, rapid phenotypic antibiotic susceptibility testing based on angle-resolved light scattering imaging of microfluidic droplets.

INTRODUCTION: There is an urgent need for rapid, high-throughput phenotypic antimicrobial susceptibility testing (AST) capable of assessing a microbial sample's susceptibility to multiple antibiotics. OBJECTIVES: In this study, we have established a multiplexed rapid AST platform that employs droplet microfluidics for high-throughput single-cell based analysis, 2D angle-resolved light scattering f...

Unsupervised machine learning for the detection and interpretation of key features in drip patterns.

Bloodstain pattern analysis (BPA) is increasingly shifting towards more objective methodologies for pattern classification. This transition can involve image-processing techniques that extract observable bloodstain features as data for pattern classification. This paper explores how unsupervised machine learning (ML)-based frameworks can be designed to identify observable features in bloodstain pa...

The optimal diagnostic assistance system for predicting three-dimensional contact between mandibular third molars and the mandibular canal on panoramic radiographs.

OBJECTIVES: This study aimed to identify the most effective diagnostic assistance system for assessing the relationship between mandibular third molar...

From Screening to Safety: Addressing Donor Deferral Practices for a Safer Blood Supply.

For ensuring blood safety, potential blood donors undergo comprehensive eligibility screening, comprising a review of their medical history and a phys...

Residual disease in NPM1-mutated acute myeloid leukemia.

Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in the nucleophosmin-1 (NPM1) gene identified as the mo...

Leveraging machine learning for predicting Opisthorchis viverrini infection in cats: A tool for veterinary epidemiology.

Opisthorchis viverrini (Ov) infection is a major public health concern in the Greater Mekong Subregion, with cats as key reservoir hosts. Although mac...

Evaluation of deep learning models for anterior segment OCT image segmentation during scleral lens wear.

PURPOSE: The accurate segmentation of corneal and contact lens boundaries in anterior segment optical coherence tomography (AS-OCT) images provides es...

Nondisruptive inducible labeling of ER-membrane contact sites using the Lamin B receptor.

Membrane contact sites (MCSs) are areas of close proximity between organelles that allow the exchange of material, among other roles. The endoplasmic ...

Permanent magnetic droplet-derived microrobots.

Microrobots hold substantial potential for precision medicine. However, challenges remain in balancing multifunctional cargo loading with efficient lo...

An intelligent tactile imaging-recognition sensor system enabled a methoxynitrobenzene-salicylaldehyde fluorescent material.

Tactile sensors utilizing functional materials decode surface textures for object recognition. Herein, we engineer a donor-acceptor fluorescent materi...

A 4×256 Gbps silicon transmitter with on-chip adaptive dispersion compensation.

The exponential growth of data traffic propelled by cloud computing and artificial intelligence necessitates advanced optical interconnect solutions. ...

PolSAR image classification using shallow to deep feature fusion network with complex valued attention.

Polarimetric Synthetic Aperture Radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and gener...

A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties.

Integrating robotically driven contact-based material characterization techniques into self-driving laboratories can enhance measurement quality, reli...

Machine learning analysis of a Fano resonance based plasmonic refractive index sensor using U shaped resonators.

Plasmonic sensors have received special consideration for refractive index (RI) measurement due to the benefits of compact footprints and high sensiti...

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Viral infections have spread globally, profoundly affecting social and economic aspects of life and causing widespread suffering. Infection caused by ...

Toward developing a compact total artificial heart using a soft robotic fluidic transmission system.

Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplantation due to a critical shortage of donor hearts. R...

Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseas...

Leveraging federated learning and edge computing for pandemic-resilient healthcare.

The universal demand for the development and deployment of responsive medical infrastructure and damage control techniques, including the application ...

Use of a sperm morphology assessment standardisation training tool improves the accuracy of novice sperm morphologists.

Sperm morphology assessment is recognised as a critical, yet variable, test of male fertility. This variability is due in part to the lack of standard...

DSNet enables feature fusion and detail restoration for accurate object detection in foggy conditions.

In real-world scenarios, adverse weather conditions can significantly degrade the performance of deep learning-based object detection models. Specific...