Infectious Disease

Digital holographic microscopy: use of artificial intelligence to enable rapid blood culture Gram stain digitization and interpretation.

Gram staining is one of the most commonly performed tests in the clinical microbiology laboratory. R...

Prediction of KPC-producing Klebsiella pneumoniae by MALDI-TOF MS, ensemble learning, and spectral peak annotation.

The increasing prevalence of carbapenem-resistant Klebsiella pneumoniae represents a serious global ...

Structural and dynamic characterization of MirA-like xenosiderophore transporters in Fusarium: in silico modeling and in vitro validation.

Fusarium, an omnipresent fungus is known for its pathogenic potential. Pathogenic fungi like all oth...

Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis.

BACKGROUND: The COVID-19 pandemic has highlighted the challenges posed by the rapid spread of misinf...

Imaging Modalities in Tuberculosis.

Tuberculosis (TB) remains a major global health challenge, with increasing prevalence of multidrug-r...

AI-guided multi-omics analysis identifies NPC1-modulated susceptibility to SARS-CoV-2 infection under PM2.5 exposure.

Exposure to airborne fine particulate matter (PM2.5) has been linked to increased risk of the severe...

MetaCAM as an ensemble-based class activation mapping framework improves model explainability.

The need for clear, trustworthy explanations of deep learning model predictions is essential for hig...

Neoantigen Targeting as a Novel Approach for Therapy-Resistant Tumors.

Neoantigens have emerged as central targets in the development of individualized cancer vaccines, as...

Dual-Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell-Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy.

Tuberculosis remains a major infectious disease worldwide and demands new therapeutic approaches cap...

Comparative evaluation of magnetic metal oxide nanoparticles for microorganism concentration: From standard strains to cerebrospinal fluid samples using statistical and artificial neural network modeling.

Magnetic nanoparticle based concentration of microorganisms is an effective strategy for improving d...

Ultrasensitive electrochemical detection of clinically relevant genetic mutations via nanoparticle surface localized amplification and machine learning.

Genetic mutation detection is crucial for early disease diagnosis, prognosis assessment, and the imp...

Virtual cell/virtual cell like: The key to unlocking a new era of HIV/AIDS treatment ?

Virtual Cell (VC) technology, as an interdisciplinary frontier at the intersection of systems biolog...

Clinical Care Practices Shape Microbiome-Associated Bloodstream Infection Risk in Geographically Distinct NICUs.

BACKGROUND: Bloodstream infections (BSI) remain a major cause of morbidity and mortality in preterm ...

Harnessing machine learning with auditory tests and demographic factors to forecast children's reading abilities in children living with and without HIV.

Artificial intelligence and multi-omic empowered-tracing macrophage diagnostic and druggable implications in coronavirus pneumonia.

BACKGROUND: As the innate immune barrier, macrophages play an important role in coronavirus infectio...

DoTT-ML: Condition-aware detection of transcriptional readthrough from RNA-seq with optional ML-based prioritization.

Disruption of transcription termination (DoTT) occurs when RNA polymerase II reads past a gene's nor...

Optimal machine learning models and factors for global infectious diseases: An ecological analysis.

BACKGROUND: Infectious diseases are a major global public health challenge. Socioeconomic and enviro...

Adaptive acoustic streaming microbial system for oxytetracycline removal.

Microalgae-bacteria symbiosis has been demonstrated to possess the ability to remove antibiotics fro...

Proteomic profiling and pathway analyses reveal molecular signatures and immune networks in pediatric sepsis.

BACKGROUND: Sepsis remains a leading cause of childhood mortality worldwide. Most deaths occur withi...

PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes.

BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) b...

Combined use of serum KL-6 and respiratory functional parameters for identifying fibrotic lung damage in SARS-CoV-2-induced interstitial pneumonia.

BACKGROUND: Post-COVID19 pulmonary fibrosis (PCPF) has been reported in a significant proportion of ...