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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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MultiDiffSense: Diffusion-Based Multi-Modal Visuo-Tactile Image Generation Conditioned on Object Shape and Contact Pose

Acquiring aligned visuo-tactile datasets is slow and costly, requiring specialised hardware and larg...

Local REM sleep-N1-wake sleep stage mixing in narcolepsy type 1

Type 1 narcolepsy (NT1), a disorder caused by the loss of hypocretin/orexin transmission, is charact...

Inferring unobserved vector dynamics for dengue forecasting using physics-informed neural networks and mechanistic transmission models

Accurately characterising mosquito infection dynamics is essential for effective dengue prevention a...

Monocular Reconstruction of Neural Tactile Fields

Robots operating in the real world must plan through environments that deform, yield, and reconfigur...

Benchmarking Machine Learning and Automated Image Analysis for Organelle Quantification

Quantitative organelle analysis is highly sensitive to image-processing choices, limiting reproducib...

Wastewater-informed neural compartmental model for long-horizon case number projections

Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, bu...

Metagenomic strain tracking reveals patterns of bacterial spread and the impact of water chlorination

Bacterial infections are a major cause of morbidity and mortality among children under five in low- ...

Hand2World: Autoregressive Egocentric Interaction Generation via Free-Space Hand Gestures

Egocentric interactive world models are essential for augmented reality and embodied AI, where visua...

HiCInterpolate: 4D Spatiotemporal Interpolation of Hi-C Data for Genome Architecture Analysis.

Motivation: Studying the three-dimensional (3D) structure of a genome, including chromatin loops and...

Deep learning enables quantitative subcellular analysis of plant-microbe interfaces

Specialized host-microbe interfaces are central to cellular interactions in plants. Intracellular st...

Bayesian neural networks enable inference of complex phylodynamic processes

Phylogenetic branching patterns carry essential information about population and diversification dyn...

Closed-loop imitation learning reveals muscle-centric and latent-goal codes in primate sensorimotor cortex

Dexterous grasping requires the seamless integration of proprioceptive feedback with predictive moto...

Under-Canopy Terrain Reconstruction in Dense Forests Using RGB Imaging and Neural 3D Reconstruction

Mapping the terrain and understory hidden beneath dense forest canopies is of great interest for num...

Urban Neural Surface Reconstruction from Constrained Sparse Aerial Imagery with 3D SAR Fusion

Neural surface reconstruction (NSR) has recently shown strong potential for urban 3D reconstruction ...

Open-Vocabulary Functional 3D Human-Scene Interaction Generation

Generating 3D humans that functionally interact with 3D scenes remains an open problem with applicat...

ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation

Single Image Reflection Separation (SIRS) disentangles mixed images into transmission and reflection...

In-situ On-demand Digital Image Correlation: A New Data-rich Characterization Paradigm for Deformation and Damage Development in Solids

Digital image correlation (DIC) has become one of the most popular methods for deformation character...

Biophysically realistic network-level transport model of tau progression with exosome-mediated release and uptake processes

The spatiotemporal progression of tau aggregates in neurodegenerative diseases like Alzheimer's foll...

Towards Airborne Object Detection: A Deep Learning Analysis

The rapid proliferation of airborne platforms, including commercial aircraft, drones, and UAVs, has ...

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