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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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

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

Easy to use and low cost leaf disease quantification workflow using Ilastik

Accurate and reproducible assessment of foliar disease severity is essential for evaluating the perf...

Pathogen-specific host responses define distinct pneumonia endotypes in the human lung

Pneumonia is the leading cause of death from infectious disease worldwide. The diagnosis and treatme...

Molecular Methods to Detect Vibrio cholerae and Associated Bacteriophages among Diarrheal Patients in Bangladesh

Molecular diagnostics to detect Vibrio cholerae (Vc) may be negatively impacted by pathogen-specific...

Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality

Artificial intelligence models are increasingly scaled to improve predictive accuracy, yet it remain...

Simpler is not always better: Phylodynamic misspecification and deep-learning corrections

Phylodynamics bridges the gap between epidemiology and pathogen genetic data by estimating epidemiol...

Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...

Evaluating Reference-Independent Pipelines for the Detection of Spreading Organisms in Metagenomic Datasets

The emergence of unidentified pathogens, or "Disease X," poses a significant threat to global health...

EffectorGeneP: accurate gene annotation in pathogen genomes from infection transcriptomes

Accurate gene annotation is crucial for inference of biological knowledge from genomes. However, non...

deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal

Shadows cast by terrain and tall structures remain a major obstacle for high-resolution satellite im...

Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers

Visual affordances identify regions in an image with potential interactions, offering a novel paradi...

A Tissue Microenvironment Analogous to Certain Tumor Microenvironments Facilitates HIV Persistence

The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...

Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection

Single-point supervised infrared small target detection (IRSTD) drastically reduces dense annotation...

Remote SAMsing: From Segment Anything to Segment Everything

SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote...

Species-specific transformer models of bacterial gene order and content for genomic surveillance tasks

Transformer models enable functionally meaningful representation of complex biological data, such as...

Pediatric HIV Hotspots in Kenya: Machine Learning and Geostatistical Analysis for Enhanced Case Finding

Background Although Kenya's HIV programme has long prioritized high-burden counties for intensified ...

Diffusion Model as a Generalist Segmentation Learner

Diffusion models are primarily trained for image synthesis, yet their denoising trajectories encode ...

DiffuSAM: Diffusion-Based Prompt-Free SAM2 for Few-Shot and Source-Free Medical Image Segmentation

Segmentation models such as Segment Anything Model (SAM) and SAM2 achieve strong prompt-driven zero-...

Edit Where You Mean: Region-Aware Adapter Injection for Mask-Free Local Image Editing

Large diffusion transformers (DiTs) follow global editing instructions well but consistently leak lo...

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