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Universal precautions

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

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Environmental contamination, product contamination and workers exposure using a robotic system for antineoplastic drug preparation.

Environmental contamination, product contamination and technicians exposure were measured following ...

Feb 2014 24567041
Comfort with AI for HIV Prevention Among Cisgender Women in New York City

Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. Ho...

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

Background Bacterial fitness is shaped by interactions between genome variation and environmental co...

Pathogen-specific antimicrobial activity prediction with biological large language model-based methods

Driven by the rise of antimicrobial resistance, antimicrobial peptides (AMPs) have emerged as promis...

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

Volumetric Reasoning Segmentation (VRS) aims to segment a target region in a 3D medical scan from a ...

Feedforward 3D Editing Learns from Semantic-Part Transformation

3D editing is a fundamental capability for scalable 3D content creation. While image editing has rap...

VesselSim: learning 3D blood vessel segmentation without expert annotations

Blood vessel segmentation is a core task in medical image analysis for the care of vascular diseases...

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance

Camouflaged object detection (COD) from a single image is a challenging task due to the high similar...

Event-based Batting Impact Estimation

Estimating the precise timing of batting impact is crucial for understanding the rapid sensorimotor ...

DeCoDrift: Stabilizing Decoder Coupling in Closed-Loop Foundation Segmentation

Foundation segmentation models such as Segment Anything Model (SAM) are now routinely used in iterat...

Pixel-Level Pavement Distress Assessment Using Instance Segmentation

Automated pavement distress assessment requires more than image-level classification or coarse bound...

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding

Visual grounding, the task of localizing objects described by natural-language expressions, is a fou...

Distributed Image Compression with Multimodal Side Information at Extremely Low Bitrates

Distributed Image Compression (DIC) is crucial for multi-view transmission, especially when operatin...

SegCompass: Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning Segmentation

While large language models provide strong compositional reasoning, existing reasoning segmentation ...

Structure and Dynamics of the HIV-1 Envelope Protein on the Virion Envelope

HIV-1 buds from infected cells as immature virion particles with a scattered envelope glycoprotein (...

Token-Space Mask Prediction for Efficient Vision Transformer Segmentation

Query-based Vision Transformer segmentation models typically reconstruct dense spatial feature maps ...

StyleText: A Large-Scale Dataset and Benchmark for Stylized Scene Text Inpainting

We present StyleText, a large-scale dataset and benchmark for localized scene-text inpainting with s...

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