Bacterial Infection

Development and validation of a novel multimodal deep neural network model based on CBC digit parameters and scattergrams for rapid hematolymphoid malignancy classification: a multicenter cohort study.

BACKGROUND: Rapid screening of hematolymphoid malignancies (HMs) by complete blood cell count (CBC) is crucial for choosing the next appropriate workup and initiating timely treatment for critical cases such as acute promyelocytic leukemia. Commonly presented as leukocytosis and abnormal differential, HMs could be misdiagnosed with diverse etiologies including reactive status of bacterial or viral...

Machine learning-enabled label-free SERS for microbial sensing: Toward robust, generalizable, and deployable workflows.

Label-free surface-enhanced Raman spectroscopy (SERS) combined with machine learning (ML) provides a rapid, reagent-light approach to microbial detection, identification, and phenotyping. Translation remains limited, however, by variability in sample preparation, substrates, acquisition conditions, preprocessing, and validation design. We conducted a Preferred Reporting Items for Systematic Review...

TACTIC: A transfer learning framework to predict drug interactions in emerging pathogens.

Machine learning (ML) is necessary to efficiently identify potent drug combinations within a large candidate space to combat drug resistance. However,...

Machine learning-guided discovery of spirocyclic inhibitors targeting Mycobacterium tuberculosis FtsZ.

Tuberculosis continues to pose serious threats to global public health and calls for the design of new drugs that can target key bacterial proteins. T...

Explainable machine learning deciphers and quantifies material-microbe-methane pathways in zero-valent iron-enhanced anaerobic digestion.

Zero-valent iron (ZVI) has been widely applied to enhance methane recovery in anaerobic digestion (AD), but how ZVI material properties and operating ...

High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

Accurate detection of mutations within bacterial species is critical for fundamental studies of microbial evolution, reconstructing transmission event...

Conserved 3' stem-loop structures enable comprehensive analysis of bacterial transcription termination in metagenomes.

BACKGROUND: Bacterial transcription termination is a critical yet underexplored layer of gene regulation in microbial ecosystems. Existing computation...

Artificial intelligence and CRISPR-based approaches for targeted delivery of bacteriophages.

The rapid emergence of multidrug-resistant (MDR) bacteria has increased interest in bacteriophage therapy as a promising alternative to conventional a...

Machine learning-based prediction of E. coli infection in hospitalized patients using a no-code analytical framework.

Hospital-acquired infections (HAIs) remain a major global concern, contributing significantly to increased morbidity, mortality, and healthcare costs....

Spatiotemporal temperature trajectories underpin predictive modeling of microbial succession in single-batch high-temperature daqu solid-state fermentation.

Spontaneous solid-state fermentation (SSF) efficiency and product quality depend on microbial consortia regulation under dynamic temperature regimes, ...

Strain-Level Food Surveillance of Escherichia coli Using a Specific-Nonspecific Hybrid Sensor Array Strategy.

Array-based sensing platforms have advanced rapidly in recent years, offering strong potential for high-throughout and multiplexed detection. However,...

Antimicrobial Peptides and Biofilms: From Molecular Interactions to Therapeutic Control.

The rising problem of antimicrobial resistance (AMR), further complicated by the resilience of bacterial biofilms, calls for the discovery of new ther...

The Role of Intracellular ROS in the Development of Antimicrobial Resistance:A Convergent Mediator Linking Mutations and Horizontal Gene Transfer.

The development of antimicrobial resistance (AMR) is a major threat to global public health and environmental security. While antibiotics are known dr...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

Microbially driven microplastic degradation: From mining functional microbiota to enhancing remediation potential in diverse environments.

Microplastic (MPs) pollution poses a global threat to ecosystems and human health. Traditional physicochemical methods face limitations like high cost...

Spatial distribution and determinants of antimicrobial resistance in livestock across pathogen types, animal species and antimicrobial classes.

Antimicrobial resistance (AMR) in livestock is a growing global health concern with important implications for food security, human and animal health....

Living bacterial reservoir computers for information processing and sensing.

We introduce a systems-level approach to sensing and computing in which Escherichia coli acts as a living reservoir computer, performing complex infor...

Machine learning driven forward-reverse design of Ag-ZnO-PEEK nanocomposites for sustainable biomass and lipid enhancement in Chlorella vulgaris AK_123 with integrated anti-bacterial activity.

At present, the realm of nanobionics has garnered significant attention for its potential applications in microalgal systems, offering innovative stra...

Characterization and determination of the immunomodulatory activity of intestinal microbiota microorganisms isolated from free-range Cornu aspersum snails in olive groves before and after aestivation.

The present study investigated the impact of aestivation of free-range snails on the intestinal microbiota and its potential to protect the host from ...

Rapid delineation of Acinetobacter baumannii dose responses to zosurabalpin based on machine learning-assisted interpretation of bacterial nanomotions.

UNLABELLED: Carbapenem-resistant Acinetobacter baumannii (CRAB) represents a major clinical threat, underscoring the urgent need for both new antibiot...