Infectious Disease

Aflatoxin detection in pistachio nuts: conventional methods, emerging technologies, and critical insights.

Aflatoxin contamination in pistachios, caused by Aspergillus flavus and Aspergillus parasiticus, pos...

Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold values: An epidemic transmission and machine learning modeling study.

Polymerase chain reaction (PCR) cycle threshold (Ct) values can be used to estimate the viral burden...

Sepsis Diagnostics via Biosensors: Engineering Platforms, Artificial Intelligence Integration, and Clinical Translation.

Sepsis remains one of the most diagnostically challenging syndromes due to its clinical heterogeneit...

Discovery of a novel compound against BmNPV using virtual screening based on the protein structure of the viral whole genome.

Currently, effective antiviral drugs against Bombyx mori nucleopolyhedrovirus (BmNPV) are still lack...

Kaposi's sarcoma in individuals living with HIV: comparative assessment of AI-based clinical responses using a standardized questionnaire set.

OBJECTIVE: To comparatively evaluate the clinical responses of three digital platforms (ChatGPT 5.2,...

Discrimination between Mycobacterium tuberculosis and Mycobacterium bovis using Fourier transform infrared spectroscopy.

Zoonotic tuberculosis (TB) caused by Mycobacterium bovis (Mbo) is a neglected disease that hinders e...

Artificial intelligence in combating challenges in antimicrobial resistance: a narrative review.

Antimicrobial resistance (AMR) is a major global health challenge that threatens the effective preve...

Personalized sepsis mortality prediction: An interpretable machine learning nomogram.

PURPOSE: Sepsis remains a major cause of mortality in ICU patients, requiring accurate prognostic to...

Advancing DIA-Based Limited Proteolysis Workflows: Introducing DIA-LiPA.

Limited proteolysis coupled to mass spectrometry (LiP-MS) probes protein conformational dynamics, bu...

A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators.

OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is ...

Longitudinal modeling of Post-COVID-19 condition over three years: A machine learning approach using clinical, neuropsychological, and fluid markers.

Post-COVID-19 condition (PCC) manifests with prolonged, heterogeneous symptoms challenging both, dia...

A hierarchical interaction message net for accurate molecular property prediction.

Discovering molecules with desirable molecular properties, including ADMET profiles, is of great imp...

In Silico Approaches in Benzimidazole Derivatives Research: Recent Insights.

Benzimidazole remains a privileged heteroaromatic scaffold with broad therapeutic potential, spannin...

Klebsiella oxytoca: an opportunistic bacterial pathogen that poses challenges for treatment and vaccine development.

Klebsiella oxytoca is a clinically significant opportunistic bacterium that contributes to global mo...

Correction for Wiesmann et al., "Prediction of antimicrobial resistance from MALDI-TOF mass spectra using machine learning: a validation study".

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral a...

Medical students' mental health, quality of life, motivation, and learning approaches before, during and after COVID-19: findings from a 4-wave repeated cross-sectional survey.

This study examined changes in mental health, quality of life, academic motivation, and learning app...

Interpretable four-factor day-1 nomogram for predicting sepsis-associated encephalopathy in septic ICU patients with AKI: Development and internal validation in MIMIC-IV.

Sepsis-associated encephalopathy (SAE) is common in the intensive care unit (ICU) and portends worse...

Overview of a User-Centered, Mixed-Methods Process for Designing Interconnected and Focused Mobile Applications on Patient Care Environment (InterFACE): Augmented-Reality Decision Support System for Pediatric Resuscitation.

BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...

Predicting vesicoureteral reflux outcomes using artificial intelligence: A critical appraisal using APPRAISE-AI.

Vesicoureteral reflux (VUR) is a common congenital urinary tract anomaly in children, associated wit...

Leveraging probabilistic forecasts for dengue preparedness and control: The 2024 Dengue Forecasting Sprint in Brazil.

Forecast models are a key decision-support tool for public health authorities in managing epidemics,...