Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Machine learning approach for dosage individualization of azithromycin in children with community-acquired pneumonia.

AIMS: The uncertainty about the efficacy and safety of currently used azithromycin dosing regimens i...

A framework predicting removal efficacy of antibiotic resistance genes during disinfection processes with machine learning.

Disinfection has been applied widely for the removal of antibiotic resistance genes (ARGs) to curb t...

Refining early detection of Marburg Virus Disease (MVD) in Rwanda: Leveraging predictive symptom clusters to enhance case definitions.

BACKGROUND: Marburg Virus Disease (MVD) poses a significant global health risk due to its high case ...

Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.

Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly im...

Integrating a host transcriptomic biomarker with a large language model for diagnosis of lower respiratory tract infection.

BACKGROUND: Lower respiratory tract infections (LRTIs) are a leading cause of mortality worldwide an...

Does infection alter antifungal distribution: an animal model exploring pharmacokinetic changes.

AIM: Assessing the disseminated meningitis caused by in Wistar rats and its impact on antifungal di...

Performance of Computer-Aided Detection Software in Tuberculosis Case Finding in Township Health Centers in China.

BACKGROUND: Computer-aided detection (CAD) software has been introduced to automatically interpret d...

Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial.

The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...

Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques.

Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs a...

Artificial intelligence in hospital infection prevention: an integrative review.

BACKGROUND: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, cont...

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach.

Hepatitis is a widespread inflammatory condition of the liver, presenting a formidable global health...

Gene age gap estimate (GAGE) for major depressive disorder: A penalized biological age model using gene expression.

Recent associations between Major Depressive Disorder (MDD) and measures of premature aging suggest ...

MRI-based risk factors for intensive care unit admissions in acute neck infections.

OBJECTIVES: We assessed risk factors and developed a score to predict intensive care unit (ICU) admi...

Cucumber green mottle mosaic virus encodes additional small proteins with specific subcellular localizations and virulence function.

The vast majority of known viruses belong to the positive-sense single-stranded RNA (+ssRNA) class. ...

A machine learning computational approach for the mathematical anthrax disease system in animals.

OBJECTIVES: The current research investigations present the numerical solutions of the anthrax disea...

Harness machine learning for multiple prognoses prediction in sepsis patients: evidence from the MIMIC-IV database.

BACKGROUND: Sepsis, a severe systemic response to infection, frequently results in adverse outcomes,...

Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles.

Pancreatic cancer (PC) is a fatal disease with an extremely low 5-year survival rate, mainly because...

Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data.

OBJECTIVE: To predict COVID-19 in hospitalized patients with SARS in a city in southern Brazil by us...

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