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Universal precautions

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

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Showing 1660-1680 of 3,004 articles
Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion

Diffusion model shows remarkable potential on sparse-view computed tomography (SVCT) reconstructio...

ThinTact:Thin Vision-Based Tactile Sensor by Lensless Imaging

Vision-based tactile sensors have drawn increasing interest in the robotics community. However, tr...

Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation

Small object segmentation, like tumor segmentation, is a difficult and critical task in the field ...

SimGen: A Diffusion-Based Framework for Simultaneous Surgical Image and Segmentation Mask Generation

Acquiring and annotating surgical data is often resource-intensive, ethical constraining, and requ...

Personality Modeling for Persuasion of Misinformation using AI Agent

The proliferation of misinformation on social media platforms has highlighted the need to understa...

SmartEraser: Remove Anything from Images using Masked-Region Guidance

Object removal has so far been dominated by the mask-and-inpaint paradigm, where the masked region...

RoHan: Robust Hand Detection in Operation Room

Hand-specific localization has garnered significant interest within the computer vision community....

LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier

Scaling up the vocabulary of semantic segmentation models is extremely challenging because annotat...

GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing

Multi-modal large language models (MLLMs) have achieved remarkable success in image- and region-le...

Using core genome and machine learning for serovar prediction in Salmonella enterica subspecies I strains.

This study presents a dual investigation of Salmonella enterica subspecies I, focusing on serovar pr...

Jan 2025 40210591
FOCUS: Towards Universal Foreground Segmentation

Foreground segmentation is a fundamental task in computer vision, encompassing various subdivision...

Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation

We consider the task of Image-to-Video (I2V) generation, which involves transforming static images...

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring

We pretrain METAGENE-1, a 7-billion-parameter autoregressive transformer model, which we refer to ...

Nanopore- and AI-empowered microbial viability inference

The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial f...

Large Language Model-assisted text mining reveals bacterial pathogen diversity

Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...

mamp-ml: A deep learning approach to epitope immunogenicity in plants

Eukaryotes detect biomolecules through surface-localized receptors, key signaling components. A subs...

De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning

The escalating crisis of antibiotic resistance underscores the urgent need for innovative anti-infec...

SIMPLICITY: an agent-based, multi-scale mathematical model to study SARS-CoV-2 intra- and between-host evolution

Computational tools are frequently used to describe pathogen evolutionary dynamics either within inf...

Temporal foundation model unveils ancient Hepatitis B virus evolution

Since ancient hepatitis B virus (HBV) sequencing data are scarce and incomplete, the evolutionary dy...

Language models learn to represent antigenic properties of human influenza A(H3) virus

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

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