Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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Personalized Fluid Management in Patients with Sepsis and AKI: A Casual Machine Learning Approach

Intravenous (IV) fluids are cornerstone for management of acute kidney injury (AKI) after sepsis but...

How effective is generative AI advice for the academic advancement of faculty?

The SingHealth Duke-NUS Academic Medical Center manages over 2,800 clinical faculty members and proc...

Dynamic Lymphocyte Recovery Patterns Predict 90-Day Mortality in Sepsis: A Machine Learning-Enhanced Analysis of the MIMIC-IV Cohort

Sepsis-induced immunosuppression, characterized by lymphopenia, is associated with adverse outcomes....

From free text to SOFA score: automated reconstruction of sepsis severity from unstructured clinical notes

To evaluate the ability of a natural language processing system to automatically reconstruct the SOF...

Machine Learning–Driven Drug Optimization for Typhoid Fever Based on Patient Profiles

Typhoid fever remains a major Global public health concern, with treatment outcomes dependent on ant...

Comparative Benchmarking of Five Contemporary Language Models on Clinical Reasoning

The rapid integration of Large Language Models (LLMs) into healthcare raises critical questions rega...

A Tabular Residual Neural Network for Diabetes Classification and Prediction

Diabetes Mellitus (DM) is a metabolic disorder characterized by hyperglycemia, with type 1 character...

Single-Cell Nanomotion and Machine Learning for Parallel Bacterial Identification and Antibiotic Screening

Rapid and accurate identification of bacterial infections and their resistance to antibiotics is cri...

Machine Learning for Urinary Tract Infection Prediction in Emergency Departments: An Explainable Approach

Urinary tract infections (UTIs) represent a substantial burden in emergency department (ED) settings...

Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as infection.

BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,0...

Jan 2025 40438212
A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information.

Understanding the behavior of microbial consortia is crucial for predicting metabolite production by...

Jan 2025 40452928
Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.

BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...

Jan 2025 40453984
AI-driven multi-omics profiling of sepsis immunity in the digestive system.

Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphas...

Jan 2025 40463386
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