Infectious Disease

[Annual progress in imaging diagnosis of tuberculosis in 2025].

Tuberculosis (TB) remains a major global public health threat and continues to be one of the leading causes of death from infectious diseases worldwide. Achieving the 2030 goal of"Ending TB"depends critically on the early and precise diagnosis of TB. In recent years, multiple imaging techniques-including digital radiography (DR), computed tomography (CT), magnetic resonance imaging (MRI), 18F-fluo...

Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem.

Sugar beet (Beta vulgaris ssp. vulgaris) is one of two plants from which sugar is broadly produced, accounting for 55% of U.S. sugar ($1B, U.S.) and 35% global raw sugar ($4.6B), annually. The sugar beet root maggot (Tetanops myopaeformis) is its top pathogen in the U.S., and capable of causing total crop failure, making its study of urgent need. A B. vulgaris protease inhibitor, BvSTI (DV501688),...

Microbiome and multi-omics insights into sustainable aquaculture: A triennial systematic review.

Aquaculture is the fastest-growing food production sector, yet intensive practices drive disease outbreaks, antibiotic resistance, and environmental d...

Computational identification and multi-level validation of marine fungal metabolites as potent inhibitors of Acinetobacter baumannii GuaB.

Lightweight attention enhanced YOLOv11 for accurate multi class detection of brinjal diseases.

The cultivation of brinjal is seriously affected by various pathogens which affect crop yield and quality hence the importance of automated disease de...

Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning.

Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance.

Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical ...

Smart hydrogels for overcoming cancer multidrug resistance.

Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...

Restoring auditory discrimination in noise: mismatch negativity evidence for a deep neural network-based denoising system in hearing aids.

BACKGROUND: Understanding speech in noise is a primary challenge for individuals with sensorineural hearing loss (SNHL). While deep neural network (DN...

Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.

Emerging infectious diseases are one of the most significant threats to global health, driven by many factors such as zoonotic spillovers, climate cha...

Bacterial taxa associated with lung cancer cases in Southeast Asians: a pilot case-control study.

PURPOSE: Lung cancer is the leading cause of cancer-related mortality worldwide, yet its underlying mechanisms remain unclear. Disruptions in the resp...

AI-driven fungicide design: From target identification to field application.

Plant pathogenic fungi severely threaten global agriculture, causing substantial yield losses in staple crops and endangering food safety through myco...

Macroecological processes impact Australian soil resistomes and climatically stable regions with anthropogenic activities serve as ARG hotspots.

Soil antibiotic resistance genes (ARGs) pose a global health threat, but a critical knowledge gap remains regarding how macro-scale pedoclimatic const...

Identifying mitochondria-related signatures for tuberculosis diagnosis through machine learning on single-cell transcriptomics data and experimental verification.

Tuberculosis (TB) remains a major cause of infectious disease mortality. Early diagnosis is crucial for curbing transmission and initiating timely tre...

The emergence of superficial dermatophytosis due to Trichophyton indotineae and Trichophyton mentagrophytes genotypes VII and II* in New York: a need for comprehensive testing approaches.

We report a rapid increase in dermatophyte infections in New York City and surrounding counties from 2022 to 2024. Reported cases include 135 of Trich...

Tripleknock: predicting lethal effect of three-gene knockout in bacteria by deep learning.

Investigating the lethal effect of multi-gene knockout is essential for discovering novel antibiotic targets and metabolic engineering. Unlike single ...

LobePrior segments lung lobes on computed tomography images in the presence of severe abnormalities.

The development of robust algorithms for lung and lobe segmentation is essential for diagnosing and monitoring pulmonary diseases. Obtaining manual or...

Multidimensional Trends and AI-Based Forecasts of HIV Incidence in Korea, 1985-2024.

Integrative bioinformatics and machine learning identify shared molecular mechanisms and diagnostic biomarkers between Helicobacter pylori infection and atrial fibrillation.

BACKGROUND: Helicobacter pylori (H. pylori) infection and atrial fibrillation(AF) are major global health concerns. Emerging evidence has suggested a ...

Advanced machine learning-guided optimization platform for high-yield soluble expression of Pseudomonas aeruginosa exotoxin A in engineered Escherichia coli strains.

BACKGROUND: The recombinant production of Pseudomonas aeruginosa exotoxin A (ETA), a critical component for immunotoxin development, remains hindered ...