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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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Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance sy...

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

TouchMap-OR: Multi-View 3D Mapping of Hand-Surface Contacts

Hand-surface interactions between clinicians, patients, and medical equipment play a central role in...

A biologically-grounded cerebellar spiking network model with realistic synaptic transmission captures complex circuit dynamics.

Cerebellar neural circuit dynamics rely on a rich repertoire of synaptic and excitability mechanisms...

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models

Text- and image-conditioned video generation models have achieved strong visual fidelity and tempora...

Contactless ultrasound chest vibration mapping discriminates respiratory and cardiac patients from healthy individuals.

Contactless assessment of cardiopulmonary function remains an unmet need, with current approaches re...

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning

The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicl...

Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction

Fluorescent protein quantum yield (QY) is governed by the mature chromophore and its three-dimension...

Identity-Consistent Multi-Pose Generation of Contactless Fingerprints

Contactless fingerprint recognition has gained increasing attention due to its advantages in hygiene...

A Model-based Visual Contact Localization and Force Sensing System for Compliant Robotic Grippers

Grasp force estimation can help prevent robots from damaging delicate objects during manipulation an...

Diffusion-OAMP for Joint Image Compression and Wireless Transmission

Joint image compression and wireless transmission remain relatively underexplored compared to generi...

MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution

We study generative super-resolution (SR) in real-world scenarios where content and degradations var...

Image Compression with Bubble-Aware Frame Rate Adaptation for Energy-Efficient Video Capsule Endoscopy

Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the sma...

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

Federated fine-tuning provides a practical route to adapt large language models (LLMs) on edge devic...

Image Compression with Bubble-Aware Frame Rate Adaptation for Energy-Efficient Video Capsule Endoscopy

Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the sma...

SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasound

Robotic ultrasound has advanced local image-driven control, contact regulation, and view optimizatio...

Exploring Remote Photoplethysmography for Neonatal Pain Detection from Facial Videos

Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower w...

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