Infectious Disease

Development and validation of a serum microRNA biomarker panel for bovine Johne's disease.

Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD management has been hampered by the lack of a sensitive diagnostic test. Here we have developed a machine-learning (ML)-driven pipeline that identifies host-encoded microRNA (miRNA) biomarkers and deploys a classification model to provide a diagnostic outp...

Achieving high-quality and safe compost: a study on multi-optimization of a non-linear system using machine learning.

Composting represents one of the most effective strategies for animal manure utilization, while its yield efficiency and product safety are constrained by critical bottlenecks including excess nutrient loss and persistence of hazardous residues. There is an urgent need for a method that allows for optimization of multi-objectives and accurate prediction of outcomes integrating these factors. The E...

AI-microbial hybrid biosensors: the next generation of intelligent detection systems.

The convergence of artificial intelligence (AI) and microbial biosensor technology is transforming pathogen detection, environmental surveillance, ant...

An integrated computational-experimental approach identifies Malate Synthase G as therapeutic target to disrupt carbon metabolism in chronic Pseudomonas aeruginosa infection.

Pseudomonas aeruginosa is a leading cause of nosocomial infections, particularly in individuals with a compromised immune system. Due to its strong ad...

M-Tune: imbalanced data handling in machine learning by tuning the decision threshold.

Overprediction of the majority class and poor predictive performance are the major issues when training machine learning classifiers with imbalanced d...

Assessment system for short-term lower cranial nerve dysfunction following medulla oblongata glioma surgery: risk stratification and optimal surgical strategy.

OBJECTIVE: Medullary gliomas pose significant surgical risks, particularly the risk of postoperative lower cranial nerve (LCN) dysfunction, which prof...

Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study.

Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies dep...

Application of artificial neural networks to solve differential equations in Zika virus dynamics with exponential kernel derivatives.

The Zika virus is a relatively new pathogen that has quickly become a major issue in virology. Infectious mosquitoes of the Aedes genus, particularly ...

Evaluation of new expert rules for the detection and differentiation of carbapenemase-producing Enterobacterales within the French epidemiological context.

UNLABELLED: The increasing prevalence of carbapenemase-producing Enterobacterales (CPE) requires reliable diagnostic tools. This study evaluated the p...

The Tip of the Iceberg: Pathway Biology Must Anchor the Next Generation of Critical Care Trials.

Heterogeneity of treatment effect has yielded decades of negative critical care trials. Syndromic diagnoses like sepsis and acute respiratory distress...

Evaluating ensemble learning approaches for horizontal gene transfer detection.

Horizontal gene transfer (HGT) is widely recognized as a major driver of antimicrobial resistance (AMR) dissemination, with genomic islands (GIs) as o...

Artificial intelligence and transforming cancer care.

Artificial Intelligence (AI) is reshaping oncology by addressing key limitations in traditional cancer care and enabling data-driven, personalized app...

Integrated analysis of human-mouse gut microbiota in RSV infection based on machine learning.

BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in children, but effective treatment options re...

Molecular prevalence, genomic characterization, and zoonotic potential of novel paramyxovirus and hepacivirus in Alexandromys fortis, Republic of Korea.

Rodents are substantial reservoirs of zoonotic viruses with regular human exposure restricted to a limited number of species. Numerous rodent species ...

Investigating Infection and Clinical Data to Predict Effective Antibiotic Therapy and Monitor Resistance Trends.

BACKGROUND: Data-driven approaches to effectively select antibiotics are crucial to improving patient outcomes and reducing antibiotic resistance. Thi...

Early-life proteomic and microbiome features signal obesity risk across 26 years of follow-up.

UNLABELLED: Childhood obesity is rising globally. Yet, few studies have examined the microbiome and proteome in early childhood in relation to this ou...

Application of surface-enhanced Raman spectroscopy in the diagnosis of infectious diseases.

Surface-enhanced Raman spectroscopy (SERS) is increasingly emerging as a pivotal analytical technique in the field of clinical diagnostics. The diagno...

Predicting the antifungal effects of ethanolic propolis and geopropolis extracts on Aspergillus flavus growth using mechanistic and machine-learning models.

This study evaluated the antifungal potential of ethanolic propolis (EEP) and geopropolis (EEG) extracts against Aspergillus flavus, integrating mecha...

Development and Validation of an Integrated Artificial Intelligence-Powered Clinical Decision Support Application for Cardiac Critical Care: Combining Coagulation Management, Blood Gas Analysis, Mechanical Ventilation, Hemodynamic Assessment, and Extracorporeal Membrane Oxygenation.

This study describes the development and preliminary validation of an integrated clinical decision support application (Cardiac Critical Care Advisor ...

Histopathology: An investigation so valuable but often neglected in orthopaedic infections.

The incidence of osteoarticular infections is steadily increasing, driven by rising road traffic injuries, greater longevity, increasing comorbidities...