Sepsis

Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal effi...

Validation of intensive care unit predictive scoring systems in West Africans.

Intensive care unit(ICU) predictive scoring systems (PSS) are valuable in predicting outcomes in the...

From clinics to the environment: A systematic review of machine learning and MALDI-TOF MS in the identification of antimicrobial-resistant bacteria.

As a result of the increasing prevalence of Antibiotic-resistant bacteria (ARB) and antibiotic-resis...

Comparing Generative Artificial Intelligence vs Experts for Detection of Catheter-Associated Urinary Tract Infection.

A retrospective cohort study compared generative artificial intelligence (GenAI) versus infection co...

Spatiotemporal dynamics and multiple driving factors of antimicrobial resistance in China during the COVID-19 pandemic (2019-2023): a provincial panel data analysis.

Antimicrobial resistance (AMR) poses a critical and growing global health threat, directly causing m...

[Imaging of eosinophilic pneumonia : Differential diagnosis in radiological practice].

CLINICAL/METHODICAL ISSUE: Eosinophilic pneumonias are rare inflammatory lung diseases with heteroge...

Plasma metabolomic signatures in patients with multidrug-resistant bacterial sepsis.

BACKGROUND AND OBJECTIVE: Multidrug-resistant (MDR) bacterial infections are a leading cause of seps...

Advances in the postoperative care of the liver transplant recipient.

PURPOSE OF REVIEW: Survival rates following liver transplantation now exceed 90% at one year. Howeve...

Machine learning prediction of functional cure to pegylated interferon-alpha therapy in two HBV populations: Advantaged populations and HBeAg-negative patients.

Despite advances in antiviral therapy, the rate of functional cure for chronic hepatitis B (CHB) rem...

TFAP2A transcriptionally regulates B3GALT2 to affect gouty arthritis progression through pyroptosis: a study based on machine learning and multi-omics integration analysis.

BACKGROUND: Gouty arthritis (GA) is an inflammatory joint disease driven by monosodium urate (MSU) c...

Current perspectives in cardiogenic shock.

Cardiogenic shock (CS) remains a leading cause of death in intensive cardiac care. Outcomes are limi...

AMP-CapsNet: a multi-view feature fusion approach for antimicrobial peptide prediction using capsule networks.

Antimicrobial peptides (AMPs) are universally found in both intracellular and extracellular settings...

Machine learning model predicts prognosis in SARS-CoV-2-infected autoimmune encephalitis patients.

OBJECTIVE: To assess the neurological prognosis of patients with autoimmune encephalitis (AE) after ...

Multiple neural networks from cognition to motivation of prosocial behaviour in rodents: Potential mechanism between empathy and autism spectrum disorder.

Prosocial behaviour, as a facet of social behaviour across species, entails voluntary actions that b...

A machine learning model for predicting 28-day mortality in patients with alcoholic cirrhosis and sepsis: a study based on the MIMIC-IV database.

OBJECTIVE: To develop and validate the best machine learning model for predicting 28-day mortality i...

Auditory and Vestibular Recovery in Otosclerosis Surgery: Clinical Efficacy and Predictive Modeling of Intraoperative Corticosteroid Use.

OBJECTIVE: To evaluate the effect of intraoperative local corticosteroid application on hearing, tin...

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality.

Factors influencing long-term outcomes in lung transplantation: effective monitoring and comprehensive intervention.

PURPOSE OF REVIEW: Achieving long-term survival after lung transplantation remains a major challenge...

Synergistic impact of Gram-negative bacterial co-infection on invasive pulmonary aspergillosis in non-neutropenic patients: a machine learning-based risk stratification approach.

BACKGROUND: Invasive pulmonary aspergillosis (IPA) is increasingly recognized in non-neutropenic pat...

Revitalizing actinobacteria research: an urgent response to the antimicrobial resistance crisis.

The crisis of antimicrobial resistance (AMR) is escalating while the antibiotic pipeline remains sta...

Next-generation advanced surface plasmon resonance biosensor for dopamine detection with ZnO-ag multilayer design: Machine learning optimization for high sensitivity.

The individual's physiological system needs to function effectively for a person to maintain life in...