Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Widely targeted metabolomics and machine learning identify succinate as a key metabolite in sepsis-associated encephalopathy.

Sepsis-associated encephalopathy (SAE) is a common and serious complication of sepsis that leads to ...

Dec 2025 41550731
Breaking resistance with machine and deep learning: A computational intelligence hunt for AmvR (TetR) inhibitors in Acinetobacterbaumannii.

Multidrug-resistant Acinetobacter baumannii infections have driven the development of innovative the...

Dec 2025 41442824
Unveiling sulfonamide adsorption on biochar using explainable machine learning.

Sulfonamide antibiotics are emerging aquatic contaminants due to environmental persistence and antim...

Dec 2025 41443559
Machine Learning in Microbiome Research and Engineering.

Microbiomes, complex communities of microorganisms and their genetic material, hold immense potentia...

Dec 2025 41428827
Boosting Array-based Diagnosis of Urinary Tract Infections via a Heterobifunctional Bridge-Driven Strategy.

Array-based sensing platforms have witnessed significant progress in recent years, demonstrating con...

Dec 2025 41423910
Integrating machine learning and functional genomics to study cross-species gene regulatory evolution.

Understanding the genetic basis of phenotypic differences across species has been a longstanding goa...

Dec 2025 41420926
AI-guided precise design of antimicrobial polymers through high-throughput screening technology on an automated platform.

Antimicrobial peptides (AMPs)-mimicking antimicrobial polymers show great potential as therapeutic a...

Dec 2025 41502979
Predictive modeling and fragment-based design of triterpenoid-nucleoside conjugates targeting coronavirus membrane fusion.

Triterpenoids are known for their broad biological activities, yet their potential against SARS-CoV-...

(1)
Dec 2025 41443084
HeptaTB Dx: a diagnostic model leveraging cuproptosis-ferroptosis crosstalk for distinguishing latent from active tuberculosis.

UNLABELLED: Distinguishing latent tuberculosis infection (LTBI) from active tuberculosis (ATB) remai...

Dec 2025 41405396
Advancing mold identification in the routine laboratory, performance of smartphone-based imaging and a newly developed convolutional neural network.

Mold identification in clinical diagnostics is traditionally labor-intensive and is dependent on exp...

(1)
Dec 2025 41400419
Structure of the Enterobacter pan-genome is revealed using machine learning.

The growing availability of publicly accessible Enterobacter genomes offers an opportunity to reveal...

Dec 2025 41395970
Machine learning-enhanced electrochemical sensing platform for simultaneous detection of multiple antibiotics in food samples.

The increasing prevalence of antibiotic residues in food presents a significant threat to global pub...

Dec 2025 41406748
SemiRaman: A self-supervised contrastive representation learning-based framework for semi-supervised Raman spectral identification of pathogenic bacteria.

Raman spectroscopy has established itself as a robust and non-invasive approach for the precise iden...

Dec 2025 41447771
Multifactor machine learning models for predicting urinary tract infections: a pilot study.

PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone he...

Dec 2025 41385037
Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities.

Burkholderia pseudomallei (BP) infections claims tens of thousands of lives worldwide every year. Th...

Dec 2025 41387664
Spatio-temporal forecasting of dengue in the Americas through hybrid mechanistic and data-driven models: Systematic review and meta-analysis.

This systematic review and meta-analysis (PROSPERO: CRD420251130769) synthesises 30 dengue modelling...

Dec 2025 41503373
Dengue fever prediction based on meteorological features and deep learning models.

The dengue fever epidemic is one of the health priorities of the World Health Organization (WHO), an...

Dec 2025 41536441
Machine learning-driven optimization of metabolic balance for β-carotene production.

Balancing metabolic pathways is critical for engineering microbial platforms to efficiently and robu...

Dec 2025 41389980
Deciphering the microbial complexity of Chinese traditional sourdough through integrated learning.

Sourdough fermentation relies on a dynamic microbial consortium of fungi and bacteria, shaped by int...

(1)
Dec 2025 41508439
Leveraging artificial intelligence for surgical site infection surveillance: A comparison of 5 large language models.

We conducted a retrospective study to evaluate the performance of 5 large language models in detecti...

Dec 2025 41386299
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