Infectious Disease

Dehiscence, Infection, Seroma, Haematoma (DISH): Development and Validation of a New Classification of Surgical Site Outcomes.

BACKGROUND: Surgical site outcome (SSO) reporting lacks details of management, focuses on infection, and overlooks dehiscence, seroma and haematoma. An international, consensus-driven classification system applicable to a diverse range of surgical incisions and outcomes was developed to address this gap and standardise the reporting of SSOs. METHOD: Concept statements based on a targeted literatur...

Artificial Intelligence-Empowered Single-Cell Phenotyping for Rapid, Automated Pathogen Diagnostics.

Accurate bacterial identification and antimicrobial susceptibility testing (AST) are essential for timely clinical decision-making. Conventional diagnostic methods typically require 24-48 h, leading to inappropriate empirical therapy, accelerating antimicrobial resistance, and worsening patient outcomes. Here, we present an integrated diagnostic platform that combines microfluidic single-cell bact...

Smart-Responsive Antibacterial Fibers: Mechanisms, Fabrication, and Biomedical Applications.

The escalating prevalence of multidrug-resistant bacterial infections presents a grave global health challenge, highlighting the limitations of tradit...

AI-augmented discovery of autophagy regulators through mechanistic interpretation of multiomics data.

Yu Xue: [email protected] Large-scale multiomics profiling has delineated dynamic molecular landscapes during autophagy, yet translating these complex...

Distinguishing common respiratory pathogens using machine learning of symptom profiles to prioritize diagnostic testing.

Clinical symptoms are critical for diagnosing and managing upper respiratory tract infections, yet systematic comparisons across common pathogens rema...

Artificial intelligence-assisted phenotyping of sepsis: Research progress, clinical challenges, and translational prospects.

Sepsis remains a leading cause of mortality in intensive care units worldwide, a challenge exacerbated by pathophysiological and clinical heterogeneit...

Spiramycin (SPR) antibiotics degradation with WO3 photocatalyst and ML XGBoost model for process parameters screening.

The intensification of worldwide urbanization and industrial growth has led to a rise in the release of toxic substances into the environment. Antibio...

Tactical vs. strategic: An adaptable framework for horizon-dependent dengue forecasting using data-driven approaches with serotype and climate covariates in Bangladesh.

Dengue remains a major public health problem in endemic regions, including Bangladesh. Forecasting algorithms relying on climatic variables may not ca...

Temporal shifts in public perceptions of influenza and its vaccine before, during, and after COVID-19 in a fragile nation.

BACKGROUND: Since the emergence of the COVID-19 pandemic, co-infection with COVID-19 and influenza has been associated with adverse health and economi...

A Systematic Evaluation of Cohort Selection Criteria and Their Impact on Machine Learning Model Performance and Demographic Disparities in COVID-19 Outcomes: Cohort Study.

BACKGROUND: Cohort selection criteria play a critical role in shaping machine learning (ML) model performance and the equity of clinical outcome predi...

Information matters, but cues are dangerous: a comparative evaluation of three multimodal AI chatbots in oral and maxillofacial radiology.

OBJECTIVES: To compare the diagnostic performance of three multimodal AI chatbots on oral and maxillofacial radiographic images and to examine how add...

PreMemMoRF: A pretraining-fine-tuning framework for predicting membrane molecular recognition features.

Membrane molecular recognition features (MemMoRFs) are lipid-binding intrinsically disordered regions (IDRs) that undergo disorder-to-order transition...

3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings.

INTRODUCTION: A 3D interactive report is a state-of-the-art artificial intelligence (AI) tool that integrates a patient's imaging history into an intu...

Breast tumor detection in ultrasound images using adaptive hierarchical pruning of non-tumor regions.

BACKGROUND: The development of deep learning techniques has greatly improved tumor detection and analysis in breast ultrasound images. Despite their i...

Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.

Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorou...

Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following successful praziquantel chemotherapy. Although live...

Correction to "Improving Sepsis Mortality Prediction With Machine Learning Using Full Region Synthetic Sampling Approach".

[This corrects the article DOI: 10.1002/hsr2.71556.].

Integrated evaluation of rapid diagnostic testing, genotypic-phenotypic resistance profiling, and AI-Assisted prediction models for antimicrobial stewardship and clinical outcomes in a resource-limited setting.

INTRODUCTION: Antimicrobial resistance (AMR) remains a major global health concern, necessitating timely and accurate diagnostic approaches to guide a...

Use of machine learning to detect Escherichia coli in drinking water in Bangladesh.

Escherichia coli (E. coli) is a key indicator of fecal contamination in freshwater and can signal the presence of other harmful bacteria and viruses. ...

Gut microbiome signatures during acute infection are associated with long COVID.

BACKGROUND: Long COVID (LC) manifests in 10%-30% of non-hospitalized individuals post-SARS-CoV-2 infection, leading to significant morbidity. The pred...