Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

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Critical-Care Subcategories: Sepsis
Showing 401-420 of 8,827 articles

Association between the development of sepsis and the BAR index in patients with acute pancreatitis: A retrospective investigation based on MIMIC-IV database.

Sepsis, as a severe complication of acute pancreatitis (AP), needs to be identified and treated as early as possible. The blood urea nitrogen-to-albumin ratio (BAR) index has shown good predictive ability in many studies. However, its effectiveness in predicting AP complicated by sepsis has not been further verified. Therefore, this study mainly discusses the correlation between BAR and the risk o...

May 29 2026 42216361

Evaluation of two large language models for intensive care unit discharge decisions: a prospective observational cohort study.

BACKGROUND: The aim of this study was to evaluate the effectiveness of two general-purpose Large Language Models (LLMs), ChatGPT and Gemini, in predicting Intensive Care Unit (ICU) discharge decisions (discharge vs. non-discharge). By comparing their outputs with decisions made by ICU physicians, we sought to determine the alignment of AI-generated recommendations with expert clinical judgment and...

May 29 2026 42217753
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 manage...

May 29 2026 42217777
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 constraine...

May 29 2026 42217803
Diet, Diarrhoea and Maternal Factors Associated With Wasting in Ghanaian Children Aged 6-23 Months: A Machine Learning Predictive Approach Using the 2022 Demographic and Health Survey.

OBJECTIVES: This study estimates the prevalence of wasting and examines associated factors among children aged 6-23 months in Ghana from a machine-lea...

May 29 2026 42212699
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...

May 29 2026 42213197
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...

May 28 2026 42207690
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...

May 28 2026 42201983
Lactylation-related prognostic signature characterized in pancreatic ductal adenocarcinoma through public scRNA-seq dataset and machine learning algorithms: the TOP2A-H3K18la-NQO1 axis orchestrates malignant progression.

BACKGROUND: Lactate promotes histone lactylation, which affects protein transcription and translation, thereby influencing tumour cell progression. Ho...

May 28 2026 42209673
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...

May 28 2026 42210054
Displaced minds: ecologies of depression.

This issue of the Biomedical Journal explores emerging perspectives across neuropsychiatry, metabolism, aging, regenerative medicine, artificial intel...

May 28 2026 42214470
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...

May 28 2026 42214660
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...

May 28 2026 42207026
Charting human organogenesis across the Carnegie stages from a whole-embryo perspective.

The Carnegie stages represent a critical window in human development, during which organ primordia emerge, tissue identities diversify, and many conge...

May 28 2026 42203208
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...

May 27 2026 42291821
Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineering.

Streptomyces are renowned for their unparalleled capacity to produce bioactive natural products, making them prime candidates for industrial antibioti...

May 27 2026 42208848
Machine learning-based prognostic model integrating preoperative HALP score and lactate dehydrogenase for predicting postoperative recurrence of prostate cancer.

OBJECTIVE: Postoperative biochemical recurrence (BCR) of prostate cancer (PCa) remains a major clinical challenge, and traditional risk assessment sys...

May 27 2026 42204546
Machine-learning algorithms identifies sTREM1 has a key biomarker for outcome prediction in critically ill.

INTRODUCTION: Prognostic assessment in critically ill patients traditionally relies on severity scores or single biomarkers, each with limited ability...

May 27 2026 42204737
Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity.

BACKGROUND: The coronavirus disease 2019 (COVID-19) ranges from asymptomatic to very severe infection and death, largely depending on host factors, in...

May 27 2026 42192286
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