Infectious Disease

Global density and biomass of arbuscular mycorrhizal fungal networks.

Arbuscular mycorrhizal fungi form symbioses with ~70% of plant species, building hyphal networks tha...

Operationalizing One Health Surveillance for Tropical Fungal Diseases: Practical Implications of Bioinformatics for Clinical and Epidemiological Practice.

Fungal infections are an increasing global public health concern yet remain underprioritized because...

A decade of progress towards the elimination of hepatitis C: from the National Strategic Plan to Artificial Intelligence.

Oral and Maxillofacial Surgery research hotspots and emerging trends in 2025: A targeted bibliometric analysis.

OBJECTIVES: To perform a targeted bibliometric analysis of the Oral and Maxillofacial Surgery (OMFS)...

Identification of Novel Diagnostic Biomarkers and Host-Directed Drug Screening for Mycobacterium avium Infection: A Multi-Omics and Artificial Intelligence Study.

OBJECTIVE: The rising incidence of Mycobacterium avium (MAV) infection poses significant challenges ...

Biofilm-mediated antibiotic tolerance in bacterial pathogens: Integrated molecular networks and novel therapeutic avenues.

The stable structure of biofilms and the characteristics of the bacteria within them make biofilms a...

AI-Enhanced Point-of-Care Diagnostics for Infectious Diseases in Resource-Limited Settings: A Scoping Review.

OBJECTIVES: To systematically map the extent and nature of research on AI-enhanced point-of-care (PO...

Benchmarking large language models for cell-free RNA diagnostic biomarker discovery.

Large language models can synthesize biomedical knowledge, parse vast amounts of data, and generate ...

Physician adoption patterns of AI-driven clinical decision support systems in urinary tract infection management.

In 2021, Maccabi Healthcare Services (MHS) introduced "UTI Smart-Set" (UTIS), an AI-driven decision ...

HIV-1 protease cleavage sites detection with a quantum convolutional neural network algorithm.

Human immunodeficiency virus type 1 (HIV-1) protease plays a crucial role in viral maturation by cle...

TriNet-MoE: One New Neural Network Framework Based on Mixture of Experts for CXR-Based COVID-19 Detection.

As a low-dose portable imaging technology, chest X-ray (CXR) is widely used for the screening of lun...

Development and external validation of an interpretable machine learning model for early prediction of stroke-associated pneumonia: a multicenter study.

OBJECTIVE: To develop and externally validate an interpretable machine learning model for predicting...

Prevention is all you need: generative artificial intelligence for infection prevention and healthcare epidemiology.

PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerg...

Explainable deep learning techniques for microscopic fungi classification using a learnable threshold-based ReLULeaky activation function and transfer learning.

Fungal infections are an increasing risk to human health. They can pose a threat to life and cause a...

Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis.

BACKGROUND: Colorectal cancer (CRC) is influenced by host factors and environmental exposures that s...

Targeting emerging respiratory pathogens with Clamp Peptides: broad-spectrum inhibition of viral entry in 3D human lung models.

Rapid urbanization, migration and climate change are accelerating the appearance and diversification...

Use of SNOMED CT, 2020-2025: literature review.

OBJECTIVE: To examine the evolving role and application of SNOMED CT (SCT) during 2020-2025, a perio...

Machine learning-based prediction of early invasive mechanical ventilation in ICU patients with pneumonia: Development and external validation.

BACKGROUND: Pneumonia is a common critical illness in the intensive care unit (ICU), and a subset of...

Pre-implementation safety evaluation of an AI decision-support system for surgical antimicrobial prophylaxis.

BACKGROUND: Large language models (LLMs) show potential to support antimicrobial prescribing but req...

From Correlation to Causality: Identifying Potential Environmental Drivers of Pathogenic Antibiotic-Resistant Bacteria in River Water Using Causal Machine Learning.

Pathogenic antibiotic-resistant bacteria (PARB) pose a serious public health threat within the One H...

Classification of bacterial images obtained optically using some pre-trained models.

Rapid and accurate detection of water-borne bacteria is critical for safeguarding public health and ...