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Universal precautions

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

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A Device for Computer Vision Analysis of Fungal Features Outperforms Quantitative Manual Microscopy by Experts in Discerning a Host Resistance Locus.

Accurate, quantitative phenotyping aids in the discovery of quantitative trait loci, particularly th...

Collaborative Internal Cavity Effect and Interfacial Modulation Mechanism for Boosting Deep Learning-Powered Immunochromatographic Pathogen Detection.

Nanoenabled immunochromatographic assay (ICA) emerges as a powerful tool for pathogen diagnosis, yet...

Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study.

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic...

Efficient Visual Transformer by Learnable Token Merging.

Self-attention and transformers have been widely used in deep learning. Recent efforts have been dev...

Class and isotype of VlsE-specific antibody differentiates Lyme disease stage.

UNLABELLED: Establishment of immunoglobulin diversity is contingent on recombination that occurs bot...

The Helicobacter pylori AI-clinician harnesses artificial intelligence to personalise H. pylori treatment recommendations.

Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen globally and the leading ca...

Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis.

BACKGROUND: Mycobacterium tuberculosis (MTB) is a human-specific pathogen that primarily infects hum...

Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly...

Image dataset of Taro Leaf Blight disease collected from the West African Sub-Region.

This dataset encompasses an extensive collection of 18,248 high-resolution JPEG images, documenting ...

Transformative potential of artificial intelligence in US CDC HIV interventions: balancing innovation with health privacy.

Artificial intelligence (AI) holds significant potential to transform HIV prevention and treatment t...

Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025.

BACKGROUND: Adherence with Anti-Retroviral Therapy (ART) reduces viral load, as well as HIV-related ...

A fourfold pathogen reference ontology suite.

BACKGROUND: Infectious diseases remain a critical global health challenge, and the integration of st...

Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

INTRODUCTION: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infect...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditio...

Deep Learning-Assisted Rapid Bacterial Classification Based on Raman Spectroscopy of Bacteria Lysed by Acoustically Driven Fiber-Tip Vibration.

Rapid and accurate identification of bacterial pathogens is critical for effective clinical decision...

Machine Learning Identifies Sexual Behavior Subgroups Among Men Who Have Sex with Men in Switzerland.

Sexual behavior is heterogeneous and dynamic. Characterization of such complexity constitutes eviden...

Neural Networks for Predicting and Classifying Antimicrobial Resistance Sequences in Porphyromonas gingivalis.

INTRODUCTION AND OBJECTIVE: Porphyromonas gingivalis is a key pathogen associated with periodontal d...

Assessing psychological resilience and its influencing factors in the MSM population by machine learning.

This study assesses the influence of social support, self-esteem, depression, and education on psych...

Advancements in Tuberculosis Diagnostics: An Update.

Tuberculosis (TB) is one of the major life-threatening diseases caused by a single pathogen which ha...

Predicting Quality of Life in People Living with HIV: A Machine Learning Model Integrating Multidimensional Determinants.

OBJECTIVE: With survival steadily improving among people living with HIV(PLWH), quality of life (QoL...

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