Infection control / Modes of transmission

Two-stage deep learning networks for diagnosing and staging membranous glomerulonephritis from electron microscopy images.

PURPOSE: The purpose of this study was to use transmission electron miscroscopy images to develop a deep-learning-based artificial intelligence model to detect and stage membranous glomerulonephritis, a major cause of nephrotic syndrome in adults. MATERIALS AND METHODS: A comprehensive dataset of micrographs was used to train and test the proposed model. The architecture consisted of a two-stage m...

Predict neuromuscular performance in human epidural electrical stimulation: phase 1 trial interim results.

BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring motor function in patients with paralysis. A primary challenge in this therapy lies in identifying feasible stimulation parameters in huge selection space for different movements, given the limited understanding of the precise alignment between stimulation and corresponding neuromuscular performance....

Bioinspired Swallowing Soft Gripper with Toroidal Optical Waveguides for Multimodal Interactive Perception.

Multimodal soft grippers can adapt grasping strategies to diverse environments, yet integrating sensors under large, coupled deformations remains chal...

YOLOv10-based multi-scale variant object detection for multi-category PPE non-compliance monitoring on construction sites.

Multi-category Personal Protective Equipment (PPE) non-compliance monitoring on construction sites remains challenging because visual cues for missing...

Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany.

Artificial intelligence (AI) as a medical device is now progressively entering routine ophthalmic care, yet its impact is still mostly evaluated in te...

A case-aware feature modulation framework for defect classification in power lines.

Conductors and grounded transmission towers are separated by non-conductive overhead transmission line insulators are known as materials. They frequen...

Optimising implantable loop recorder alerts with artificial intelligence: role of R-wave amplitude and workload reduction.

BACKGROUND: False-positive (FP) alerts from implantable loop recorders increase clinical workload and may delay appropriate intervention. AccuRhythm A...

Integrative analysis and experimental validation of dioxin-interacting genes reveal diagnostic and prognostic biomarkers in lung adenocarcinoma.

Dioxins are persistent environmental pollutants and key components of the human exposome with established carcinogenic potential. As airborne toxicant...

A deep learning approach for solving a fractional order Monkeypox transmission model using a harmonic neural network optimized with SGDM.

This study investigates the transmission dynamics of Monkeypox disease using a Harmonic neural network (HNN) framework optimized through stochastic gr...

Research on a long-haul transmission-line distributed vibration signal denoising method based on dual-fiber sensing and weakly supervised learning.

Long-haul distributed fiber-optic vibration monitoring for overhead transmission lines enables continuous sensing along the entire corridor. However, ...

Membrane bridges and nanodomain partitioning govern membrane protein targeting to lipid droplets.

Numerous metabolic enzymes translocate from the endoplasmic reticulum (ER) membrane bilayer to the lipid droplet (LD) monolayer, where they perform es...

Dynamics-informed multigraph neural networks for protein thermostability prediction and residue-level interpretation.

Thermostability is crucial for protein engineering, but experimental determination of melting temperatures is costly and time-consuming. Most existing...

T-cell-mediated immunity to influenza A (H2N3): implications for caccine efficacy and cross-subtype protection.

Influenza A viruses pose a significant pandemic threat, with H2N3 in particular representing a subtype of particular concern due to limited population...

Measuring multi-site pulse transit time with an AI-enabled mmWave radar.

Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated with cardiovascular function, with an inverse relati...

Parallel AI-driven framework for post-quantum secure medical image communication using swin-transformer restoration.

Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medic...

Measuring the Acceptance of Humanoid Robots in Adult Day Care Facilities.

INTRODUCTION: Socially assistive humanoid robots have emerged as promising tools for enhancing mood, engagement, and social connection in clinical and...

Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.

Continuous, real-time, and accurate monitoring of human physiological signals is crucial for proactive healthcare and chronic disease management. Trad...

A V2X communication resource allocation method based on graph neural networks and deep reinforcement learning.

High frequency vehicle-to-vehicle (V2V) communication in the Internet of Vehicles (IoV) leads to severe spectrum collisions and limited system capacit...

Bridging ensemble model and public health practice: an approach for refining understanding of seasonal dengue transmission patterns in Bangladesh.

BACKGROUND: Dengue fever remains a persistent public health threat in Dhaka, Bangladesh, necessitating effective early warning systems to enable timel...

Automated blood group classification using a digital microfluidics chip and vision transformer-based image analysis.

Identifying blood groups accurately is critical for safe medical practices, especially in emergencies, surgeries, and prenatal care. Conventional meth...