Infectious Disease

Immune checkpoint molecules as predictive markers of COVID-19 severity: A comprehensive univariable and multivariable analysis.

Immune dysregulation plays a key role in the deterioration of COVID-19. This study evaluated immune checkpoint molecules (ICMs) as markers of disease severity. Immunophenotyping of 525 hospitalised patients with moderate (n=464) and severe (n=61) COVID-19 was performed at admission and analysed alongside clinical, laboratory, and imaging data. The strongest correlations with severe outcomes and mo...

Recent biotechnological advances in bioprospecting secondary metabolites from endolichenic fungi for drug discovery applications.

Endolichenic fungi (ELF) are symbiotic organisms residing in lichens. Since the initial report of its application in natural products and drug discovery, they have emerged as unique valuable sources of compounds with a wide range of structural diversity and biological activities. In this review, we critically examine current strategies to expand ELF metabolite diversity, with emphasis on the One S...

Improving the performance of the echinococcosis diagnosis model based on serum Raman spectroscopy via the integration of convolutional neural network and support vector machine.

Echinococcosis is a zoonotic parasitic disease characterized by its insidious nature and severe health impacts. Rapid and accurate screening is crucia...

Toward Standardized ICU Trauma Resuscitation via Markov Decision Processes.

OBJECTIVE: Guideline-based recommendations for posthemostasis resuscitation in trauma patients remain limited. This study aimed to define an interpret...

A Retrospective Cohort Study on 28-Day Mortality in Immunosuppressed Sepsis: An Interpretability-Based Predictive Model Using MIMIC-IV V2.2.

BACKGROUND: Sepsis in immunosuppressed patients is associated with significantly higher mortality rates, yet predictive models tailored to this high-r...

Bu Zhong Yi Qi Tang targets key monocyte-associated genes to enhance sepsis therapy.

ETHNOPHARMACOLOGICAL RELEVANCE: Sepsis is a life-threatening condition resulting from an uncontrolled immune response to infection, leading to organ d...

Empowering Patient Autonomy: The Role of Large Language Models (LLMs) in Scaffolding Informed Consent in Medical Practice.

The principle of (respect for) patient autonomy has traditionally emphasized independence in medical decision-making, reflecting a broader commitment ...

Salt-inducible kinase 1 is a key gene in suppressing EVD68-induced asthma by modulating antiviral immunity.

Asthma is a complex inflammatory disease of the airways, affecting over 300 million individuals globally. Infection with enterovirus D68 (EV-D68) has ...

A framework using large time series model for early warning of infectious diseases.

OBJECTIVE: Infectious diseases controlling system is indispensable for weaken the damage to the people's life and property security caused by infectio...

Health risk of PM2.5-bound heavy metals in a megacity in South China: Comparison between before and after the outbreak of COVID-19.

The COVID-19 pandemic led to three years (2020-2022) of human activity restrictions in China, significantly impacting urban air quality, yet long-term...

Pharmacological Haemodynamic Management in the Intensive Care Unit: The Evolution of the Nurse's Role Over 50 Years.

AIM: To examine the evolution of intensive care nurses' roles in pharmacological haemodynamic management from 1975 to 2025 and to explore projected re...

Metagenomics reveals potential antimicrobial peptides in Chinese baijiu fermentation.

Antimicrobial peptides (AMPs) from food fermentation microbiota hold promise for food preservation and as potential antimicrobial agents. However, the...

Explainable machine learning for discontinuation of therapeutic antibiotics in intensive care patients.

INTRODUCTION: The threshold for initiating lifesaving antibiotics for intensive care patients is low while determining when to stop remains challengin...

An interpretable machine learning approach to evaluate 30-day mortality risk in patients with community-onset bacteremia.

BACKGROUND: Machine learning (ML) techniques are increasingly being used in health outcome research to develop predictive models. However, ML models a...

IQSPred-PLM: An Interpretable Quorum Sensing Peptides Prediction Model Based on Protein Language Model.

Quorum sensing regulates cooperative behaviors in bacteria through the accumulation and detection of signaling molecules. This process plays a crucial...

Convergence: Multi-omics and AI are reshaping the landscape biomedical research.

This special volume of Biochimica et Biophysica Acta - Molecular Basis of Disease showcases a transformative era in biomedical research, driven by the...

Utilizing a combined approach of machine learning and structure-based drug design principles to identify potential hits targeting SphK1.

Sphingosine kinase (SphK1) is acrucial enzyme that aids in the processing of sphingolipids by adding a phosphate group to sphingosine, converting it i...

Sepsis as a complex syndrome: Are combined biomarkers the future of diagnosis and prognosis? Clinical perspective.

Sepsis remains a major cause of mortality worldwide, driven by a dysregulated host response to infection that leads to life-threatening organ dysfunct...

Development and validation of the APEX-HBD SCORe: a multivariable prediction model for postoperative complications in patients undergoing shoulder arthroplasty.

BACKGROUND: The incidence of total shoulder arthroplasty (TSA) has risen significantly, driven by expanded indications. This study aims to derive and ...

Machine Learning-Aided Meta-Analysis Reveals Changes in Penaeus vannamei Gut Bacterial Communities Upon Dietary Supplementation-Induced Immunostimulation.

Gut bacterial communities play a key role in shrimp health; thus, their modulation has been a target of dietary supplements which also function in enh...