Infectious Disease

Lightweight large language models for early sepsis prediction via a semantic abstraction rule engine.

Sepsis remains a major global health challenge due to its high mortality rate and the difficulty of ...

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis.

Age is a well-known risk factor to develop severe viral respiratory infections, including severe COV...

Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.

Sepsis-induced acute kidney injury (S-AKI) is a common and serious complication in critically ill ch...

Polyhydroxyalkanoates production by yeasts - Still possible?

Synthetic polymers have become ubiquitous in modern life due to their versatility, durability and lo...

Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein...

Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberc...

Machine learning and meningitis prediction in pediatric invasive pneumococcal disease: a retrospective single-center study.

n-Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz.

As advancements in artificial intelligence, the Internet of Things (IoT), and telecommunication tech...

Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive....

Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?

BACKGROUND: Early identification of patients with carbapenemase-producing Enterobacterales (CPE) col...

Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.

Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, desp...

Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturing.

Ergothioneine (EGT), a potent natural antioxidant from edible fungi, is highly valued for its antiox...

[Prevention in Gastroenterology].

Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colore...

Making waves: Wastewater sludge holds untapped antimicrobial potential.

Wastewater treatment plants are widely recognized as critical nodes in the environmental disseminati...

Serum-antibody Profiling of H3N2-infected Ferrets Using a Combinatorial Phage-display Random Peptide Library.

The repertoire of antibodies in serum, known as the "IgOme", is highly diverse and unique to each in...

Whole genome sequencing precision medicine strategy to shorten treatment for rifampicin-resistant tuberculosis (SMARTT): a pragmatic, randomised, single-blind phase 4 trial.

BACKGROUND: All patients with rifampicin-resistant tuberculosis should receive a short course of eff...

Evolvable AI: Threats of a new major transition in evolution.

Evolvable AI (eAI), i.e., AI systems whose components, learning rules, and deployment conditions can...

In vivo CAR-cell therapy: current challenges and emerging therapeutic advances.

In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conve...

Mortality Prediction Among People Living With HIV on Antiretroviral Therapy in Public Health Facilities in Gondar City Administration, Northwest Ethiopia: Machine Learning-Based Study.

BACKGROUND: Predicting mortality among people living with HIV enables clinicians to implement timely...

Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.

Leigh syndrome (Leigh) is an untreatable mitochondrial disorder characterized by lactic acidosis and...

Can Algorithms Efficiently Identify Interpretable and Persuasive Message Features? An Agnostic Causal Machine Learning Approach.

Argument strength and message persuasiveness are key constructs in message effects research. Yet, re...