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Universal precautions

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

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Self-supervised 3D medical image segmentation by flow-guided mask propagation learning.

Despite significant progress in 3D medical image segmentation using deep learning, manual annotation...

Pathogen genomic surveillance and the AI revolution.

The unprecedented sequencing efforts during the COVID-19 pandemic paved the way for genomic surveill...

Leveraging machine learning to uncover multi-pathogen infection dynamics across co-distributed frog families.

BACKGROUND: Amphibians are experiencing substantial declines attributed to emerging pathogens. Effor...

Mental health phenotypes of well-controlled HIV in Uganda.

INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH)...

Fortifying plant fortresses: siderophores in defense against leaf spot disease in .

Siderophores, specialized iron-chelating molecules produced by D5, were investigated for their role...

Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach.

We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparame...

A machine learning based algorithm accurately stages liver disease by quantification of arteries.

A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue an...

Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.

Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis...

MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug-Drug Interactions.

Drug-drug interactions (DDIs) occur when multiple medications are co-administered, potentially leadi...

Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.

Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising ...

ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal.

Shadow removal remains a challenging visual task aimed at restoring the original brightness of shado...

Comprehensive analysis of causal pathogens and determinants influencing black rot disease development in MD2 pineapples.

Malaysia ranks among the world's top 20 pineapple producers, driven by the success of the MD2 variet...

Single-Cell Identification and Characterization of Viable but Nonculturable Using Raman Optical Tweezers and Machine Learning.

is a leading foodborne pathogen that may enter a viable but nonculturable (VBNC) state to survive u...

Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe.

Common ash (Fraxinus excelsior) is under intensive attack from the invasive alien pathogenic fungus ...

Clinical evaluation of a multiplex droplet digital PCR for diagnosing suspected bloodstream infections: a prospective study.

BACKGROUND: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen de...

Exploring prognosis and therapeutic strategies for HBV-HCC patients based on disulfidptosis-related genes.

BACKGROUND: Hepatocellular carcinoma (HCC) accounts for over 80% of primary liver cancers and is the...

Innovative antifungal strategies: enhanced biofilm inhibition of by a modified tea tree oil formulation.

INTRODUCTION: is a significant human pathogen with the ability to form biofilms, a critical factor ...

HIV OctaScanner: A Machine Learning Approach to Unveil Proteolytic Cleavage Dynamics in HIV-1 Protease Substrates.

The rise of resistance to antiretroviral drugs due to mutations in human immunodeficiency virus-1 (H...

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