Infectious Disease

Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care.

Critically ill cancer patients have a unique physiological profile marked by severe immunosuppressio...

Identification and validation of oxidative stress-related immune signatures in Hepatitis B Virus associated acute liver failure based on WGCNA and machine learning.

BACKGROUND: Acute liver failure (ALF) is a serious clinical disease. Immune infiltration and oxidati...

YOLOv10-FMW: A Multiscale Convolutional Detection Method for Pulmonary Tuberculosis.

Early detection and treatment of minimal pulmonary tuberculosis (mPTB) are essential for preventing ...

ParasiteNet: Deep Learning-Based Identification of Parasitic Helminth Eggs in Microscopic Images.

Parasitic helminth infections remain a major public health concern, particularly in low-resource set...

Analysis of the pulmonary microbiome in ARDS patients using bronchoalveolar lavage fluid metagenomic next-generation sequencing: a retrospective observational study.

BACKGROUND: Acute respiratory distress syndrome (ARDS) exhibits significant clinical heterogeneity, ...

Visual Bibliometric Analysis of Research Hotspots and Trends in Antimicrobial Resistance in China.

To systematically analyze the research landscape of antimicrobial resistance (AMR) in China from 201...

Machine Learning Model for Predicting Risk Factor Analysis and a Mortality Prediction Model of Acute Cholangitis Complicated with Sepsis.

This study examined factors associated with sepsis in acute cholangitis and developed outcome-specif...

Artificial Intelligence in Indian Dermatology: An IADVL Academy Position Statement and Policy Framework for Safe, Equitable, and Effective Adoption.

Artificial intelligence (AI) systems, particularly deep learning models, are increasingly used in de...

Computational small molecule drug discovery for multidrug-resistant tuberculosis: emerging targets and recent medicinal chemistry advances.

Tuberculosis (TB) remains a major global health challenge, further intensified by the emergence of m...

Plant cis-regulatory grammar: Decoding the multidimensional code of transcriptional regulation for programmable crop engineering.

Cis-regulatory elements (CREs) orchestrate the spatiotemporal precision of gene expression that unde...

Alchemical Free-Energy Framework for Multiresidue Reoptimization of Antimicrobial Peptide-Membrane Affinity.

Antimicrobial peptide (AMP) design is commonly guided by sequence-level descriptors such as cationic...

From Enhanced Sampling to Human-Readable Representations of Protein Dynamics.

Understanding protein conformational dynamics is essential for elucidating biological function but r...

Stigma-sensitive communication in medical students: an AI-supported simulation of a patient living with HIV.

Effective physician-patient communication is essential for addressing HIV-related stigma and support...

Regulatory Network Unveils the Molecular Architecture Governing Seed Vigor in Watermelon (Citrullus lanatus).

Seed vigor, a determinant of agricultural productivity, diminishes during ageing but can be restored...

Deep learning-based structural prediction (AlphaFold 3) of shrimp IMNV RdRp and identification of seaweed-derived metabolites for antiviral intervention in aquaculture.

Infectious Myonecrosis Virus (IMNV) remains a major global threat to shrimp aquaculture, causing sev...

Mendelian randomization and machine learning reveal Streptococcaceae as a risk factor for rheumatoid arthritis.

Species-level identification of Nocardia spp. from clinical samples via intelligent analysis of Raman spectroscopic fingerprints.

BACKGROUND: Nocardia spp. are clinically opportunistic pathogens that are frequently underdiagnosed....

Rapid Antifungal Susceptibility Classification of Aspergillus Species Using AI-Assisted Analysis of Routine MALDI-TOF MS Spectra: A Proof-of-Concept Study.

BACKGROUND: The increasing prevalence of antifungal-resistant Aspergillus isolates underscores the n...

Machine-learning prediction of urine-culture positivity in a multicentre test-ordered cohort: Model development and internal validation.

OBJECTIVES: This study aim to develop, compare and internally validate machine-learning models for p...

Graph neural network-based risk stratification of prostate cancer using gene expression and SHAP interpretability.

Accurate risk stratification is essential for guiding treatment decisions and preventing over treatm...

A nationwide spatiotemporal forecasting model for bacterial gastroenteritis surveillance in South Korea.

BACKGROUND: Bacterial gastroenteritis is a public health challenge in South Korea, largely driven by...