Universal precautions

Anatomical deformation prediction using artificial intelligence for fusion imaging during aortic endovascular procedures.

Placement of an aortic stent graft induces anatomical deformations, particularly at the iliac level, because of the introduction of rigid devices. Anticipating these changes may improve the accuracy of fusion guidance during endovascular procedures. In this prospective single-center study, a deep learning-based sizing software was used to generate a deformation-adjusted three-dimensional fusion ma...

Risk and Protective Factors Associated With HIV-Related Mortality in Children Receiving Antiretroviral Therapy: A Model-Based Meta-Regression.

IMPORTANCE: Mortality among children and young adolescents receiving antiretroviral therapy (ART) remains substantially higher in resource-limited settings compared with resource-rich regions. The role of modifiable risk and protective factors in explaining this global variation remains poorly understood. OBJECTIVE: To identify and quantify country-level modifiable risk and protective factors asso...

Geometric deep learning enables high-fidelity network imputation for HIV transmission modeling.

BACKGROUND: Accurately mapping social and risk networks is critical for understanding and controlling infectious disease transmission, especially amon...

Template-Based Label Propagation for Mouse Brain MRI Skull Stripping.

Accurate skull stripping is an essential preprocessing step in mouse brain magnetic resonance imaging, particularly for reliable atlas registration an...

Quantifying Repetitive Hand Flapping Kinematics in Autistic and Non-Autistic Toddlers Using Video-Based Pose Estimation.

While repetitive behaviors such as hand flapping are associated with autism, non-autistic toddlers also exhibit this behavior (e.g., when excited), ma...

T3SS effector and regulator discovery by predicting interacting partners of T3SS chaperones in Pseudomonas aeruginosa.

Pseudomonas aeruginosa is a prominent opportunistic pathogen whose virulence is closely linked to its Type III Secretion System (T3SS), a specialized ...

AI-Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review.

Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions ...

An XGBoost-Based Multicenter Model for Predicting HBV-Related Hepatocellular Carcinoma: Development and Validation.

BACKGROUND: The 5-year survival rate for hepatocellular carcinoma (HCC) is stage-dependent, yet existing models lack accuracy in predicting hepatitis ...

An integrated machine learning and computational framework with experimental validation for the identification of novel CXCR4 inhibitors.

Chemokine receptor 4 (CXCR4) is a clinically significant G protein-coupled receptor implicated in HIV-1 entry, cancer progression, immune regulation, ...

Lipid abnormalities in chronic viral hepatitis: associations and machine learning-enhanced prediction.

Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?

Although current antiretroviral therapy effectively suppresses viral replication in infected individuals, infections remain incurable. One of the main...

A safety-centric perspective on innovation and risk in the use of artificial intelligence in genomics.

Adopting a safety-centric approach, this article explores how generative artificial intelligence (AI), and more specifically, foundation models for bi...

Recurrent Processing Dynamics in Occluded Object Recognition Revealed by Electroencephalography and Deep Neural Networks.

The human visual system excels at recognizing occluded objects, yet the temporal dynamics of recurrent processing in this task remain unclear. Using h...

Integrative Metabolomics and Machine Learning Approach to Uncover Scab Resistance Markers in Mature Pecan Trees.

Scab, caused by Venturia effusa, is the most destructive disease affecting pecan (Carya illinoinensis). Developing scab-resistant cultivars offers a s...

Quantitative three-dimensional imaging of Coxiella burnetii infection by focused ion beam-scanning electron microscopy.

Coxiella burnetii is a highly virulent intracellular pathogen and the causative agent of acute and chronic Q fever in humans. Central to its pathogeni...

Robust Radical-Mediated Electrical Enzyme Assay (REEA) Cartridge FET Sensor toward Practical Applications.

Field-effect transistor (FET)-based biosensors are promising tools for early infectious-disease detection; however, their real-world deployment is lim...

Evolution and forecasting of antiretroviral therapy utilisation in British Columbia: a population-level analysis of provincial drug treatment programme data, 2014-2024.

OBJECTIVE: To characterise temporal trends in antiretroviral therapy (ART) utilisation and forecast short-term changes in regimen distribution within ...

Fast 3D dynamic visualization of porcine spermatozoa by using high-resolution wavefront coding light sheet microscopy and machine learning.

We present a wavefront coding (WFC) based decoupled illumination-detection light sheet fluorescence microscopy (DID-LSFM) system that integrates machi...

Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.

BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine learning (ML) being increasingly used to enhance pat...

A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics.

Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB) remain significant barriers as the key to diseas...