Sepsis

Magnetically actuated microrobotic system for sequential treatment of biofilm.

Biofilm-associated infections present a critical therapeutic challenge due to antibiotic resistance and impaired tissue healing. Here, we present a microrobotic system (MZ-8) that integrates real-time human-steered navigation with autonomous, microenvironment-responsive therapy to actively eradicate biofilms and promote tissue regeneration. This microrobotic system features a spine-inspired struct...

Exploring Neurological Disorder Therapeutics: The Progress and Future Prospects of Proteins and Peptides Derived from Blue Foods.

INTRODUCTION: Neurological illnesses continue to be a major global health challenge and require novel and safe therapeutic strategies. Blue foods like marine fish, algae, and invertebrates consist of many bioactive proteins/peptides that might provide multiple benefits for maintenance of a healthy brain, including neuroprotection, reduction of inflammation, and reduction of oxidative stress. This ...

Intelligent machine learning solutions with Bayesian regularization backpropagation adaptive networks for differential systems of Maize streak virus diseases.

Maize streak virus, a cause of maize streak disease, poses a major threat to food security that significantly reduces yields of maize, a crucial food ...

Machine learning prediction of postoperative pulmonary infection in patients who underwent thoracoscopic lung cancer resection: a retrospective case-control study.

BACKGROUND: Accurate identification of patients at high risk of pulmonary infection after thoracoscopic lung cancer resection is important for timely ...

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....

Exploring potential key genes and mitotic catastrophe-associated correlates in sepsis-induced acute respiratory distress syndrome using transcriptomics and experimental validation.

BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of acute diffuse lung injury caused by sepsis. Howeve...

Research progress on debridement, antibiotics, and implant retention (DAIR) for the treatment of periprosthetic joint infection after artificial joint replacement.

Periprosthetic joint infection (PJI) is one of the most serious complications following artificial joint replacement, posing significant treatment cha...

Hepatitis B virus spreading via Beddington-DeAngelis incidence function and feed-forward neural network with optimal control.

Using an appropriate mathematical model, this study aims to examine the transmission dynamics and optimal control of hepatitis B virus spreading, empl...

Admission-Based Machine-Learning Models for Predicting Mechanical Ventilation and Mortality in Fibrotic Interstitial Lung Disease: A Multicenter Cohort Study with External Validation.

BACKGROUND: Admission-based risk stratification tools are limited for hospitalized patients with fibrotic interstitial lung disease (F-ILD). AIMS: To ...

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 ...

Improving mortality prediction in critically ill cancer patients with a multidimensional machine learning model.

BACKGROUND: Prognostic assessment in critically ill cancer patients is challenging due to the suboptimal performance of traditional severity scores. W...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...

Machine learning phenotypes and heterogeneous albumin effects in cirrhotic AKI: a causal inference study.

Current guidelines recommend albumin infusion as a first-line treatment for acute kidney injury (AKI) in patients with cirrhosis. However, recent larg...

Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning.

Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, escalating care, providing thromboprophylaxis, pla...

From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI-Enabled Decision Support.

BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in emergency departments and intensive care units to s...

The IGF1-PGM5 Axis Inhibits Aerobic Glycolysis and Serves As a Tumor Suppressor in Nasopharyngeal Carcinoma.

Nasopharyngeal carcinoma (NPC) is a prevalent malignancy with a distinct geographical distribution. This study aimed to identify core glycolysis-relat...

Metabolic reprogramming of myeloid cells in cancer: from lactate-NAMPT axis to AI-guided therapeutics.

Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically plastic sentinels that shape the tumor microenvironm...

Early metabolic trajectory and sedation strategy in V-V ECMO for severe pneumonia: a multicenter cohort study.

BACKGROUND: Prognostic assessment in patients with severe pneumonia requiring veno-venous extracorporeal membrane oxygenation (V-V ECMO) has tradition...