Infectious Disease

AI-Driven nanofiber platforms for essential oil delivery in dry period cows: a sustainable strategy against mastitis and antimicrobial resistance.

The routine utilisation of prophylactic antibiotics in dairy cows during the dry period has been demonstrated to accelerate the rise of antimicrobial resistance, constituting a significant challenge within the One Health framework. The incorporation of essential oils into nanofibre delivery systems provides a sustainable alternative that has become a pivotal instrument in the field of nanotechnolo...

Renovating Neural Networks With Viral-Mediated Gene Transfer From A Tissue Contacting Matrix Mimic.

Neurodegenerative diseases such as Huntington's Disease (HD) have a significant impact on healthcare accessibility and costs. A fatal genetic condition, characterized by the progressive loss of striatal neurons, HD is hindered by the lack of endogenous repair in the adult brain. Recent efforts toward protecting neural circuits through neurotrophic support using brain-derived neurotrophic factor (B...

Droplet Digital CRISPR for Nucleic Acid Detection.

Droplet digital (dd) clustered regularly interspaced short palindromic repeats (CRISPR) integrates the high sequence specificity of CRISPR-based nucle...

Motion as a Language: Transformer-Based Classification of Antimicrobial Peptide Conformational Dynamics.

Antimicrobial peptides (AMPs) represent a promising alternative to traditional antibiotics against which many bacteria are rapidly gaining resistance....

A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis.

Sepsis is a complex systemic inflammatory syndrome that currently lacks stable and specific biomarkers. Multi-omics integration combined with machine ...

Machine learning for identifying risk factors of nosocomial infection in cancer patients with immune checkpoint inhibitor-related pneumonia.

Innovations in skin microphysiological systems for nonclinical testing and FDA modernization.

Recent innovations in skin microphysiological systems (MPSs) have gained momentum following regulatory advances such as the FDA Modernization Act 2.0 ...

Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.

Circulating cell-free DNA (cfDNA) has firmly established itself as a cornerstone of liquid biopsy, advancing the noninvasive diagnosis and monitoring ...

Spatial variation in socio-economic vulnerability to Influenza-like Infection for the US population.

This study aims to quantify environmental health impacts and assess risk by understanding the disproportionate burden of infectious diseases, specific...

Artificial intelligence predicts healthcare workers' antibiotic use intentions from psychological and behavioral measures across multiple theories.

Antimicrobial resistance (AMR) remains a global health priority, partly driven by non-guideline-concordant antibiotic prescribing among healthcare wor...

Correlation between oral disease and neurodegenerative disorders: Role of biological proteins for the modulation of oral-brain axis and gut-brain axis.

Biological proteins play a crucial role at the intersection of oral health and neuroscience, offering promising opportunities for improved diagnosis, ...

Evaluation of a machine learning system for genomic antimicrobial susceptibility determination on a clinically representative test set.

UNLABELLED: Next-generation sequencing is anticipated to transform infectious disease treatment by enabling faster diagnosis, yet a clinical-grade met...

Stage-wise environmental recovery patterns and cross-domain interactions of planktonic bacterial communities in Zhanjiang Bay following typhoon disturbance.

Typhoon events can abruptly alter local biogeochemical cycles, which may strongly influence microbial community structure and ecological interactions....

Applied Causality to Infer Protein Dynamics and Kinetics.

The use of generative machine learning models, trained on the experimentally resolved structures deposited in the protein data bank, is an attractive ...

Bacterial fructan-metabolizing enzymes: modular architecture and biotechnological potential.

Bacterial fructan-metabolizing enzymes exhibit substantial structural and mechanistic diversity to support their biotechnological uses. Recent finding...

Machine learning-driven nanoparticle-enhanced paper chromogenic array sensor approach for detecting sub-lethally injured Salmonella in low moisture food.

Detection of sub-lethally injured pathogens is critical for improving food safety, particularly given regulatory recommendations that microbiological ...

Interpretable machine learning models for QSAR-based prediction of anti-Salmonella typhi activity.

AIMS: This study aimed to develop a robust machine learning (ML)-based quantitative structure-activity relationship (QSAR) model to identify potential...

Machine Learning forecasting of dengue in São Paulo using virtual data augmentation and urban incident predictors: Addressing the exceptional surge of cases in 2024.

Dengue remains one of the most critical vector-borne diseases globally, with Brazil consistently reporting the highest incidence in the Americas. The ...

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

The interplay between the commensal microbiota and the mammalian immune system may influence the outcomes of T cell-driven cancer immunotherapies. How...

Review on Nanotoxicology and Nano-Bio Interactions: influencing factors, assessment methods, mechanisms, and applications.

Nanotechnology serves as a nanoscale interface that directly bridges our perception of the macroscopic world with the intricate nanoworld where indivi...