Infectious Disease

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications.

The immune defense function protecting the body from invasive pathogens is a key indicator of an individual's health and lacks of methods for quantitative evaluation. This study introduces ImmuDef, a novel algorithm for precisely and quantitatively assessing anti-infection immune defense function based on RNA-seq data. ImmuDef selects immune signatures through comparisons of acquired immunodeficie...

Machine learning-based typing of Clostridium botulinum group III by FT-IR spectroscopy.

This study aimed to investigate the utility of Fourier-Transform Infrared Spectroscopy (FT-IRS) for differentiating Clostridium botulinum (C. botulinum) based on its botulinum neurotoxin (BoNT)-encoding gene type and its potential as an epidemiological tool for investigating botulism outbreaks. A total of 110 botulinum neurotoxin-producing clostridia (BNPC) strains, including reference, animal iso...

Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.

Developing shorter treatment regimens for tuberculosis requires careful characterization of the clinical phenotype, which is defined by patient charac...

A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features.

Viruses are a significant threat to human life, as demonstrated by the global COVID-19 pandemic and the Ebola outbreak. Diseases such as smallpox, AID...

Caries Microbiome: time to move from blame to balance.

BACKGROUND: Advances in next-generation sequencing(NGS) and multi-omics approaches reinforced the concept of functional diversity within biofilm commu...

Identification of molecular compounds targeting bacterial propionate metabolism with topological machine learning.

This study demonstrates the transformative potential of machine learning in drug discovery by integrating comparative protein and ligand analysis with...

Complex Interactions Between Stress, Nutrition, Gut Microbiota, and Infectious Diseases and Their Impact on Health in Global Conflicts: A Narrative Review.

Following the global recovery from the COVID-19 pandemic, wars and conflicts have escalated to levels unseen since the Cold War. It is well known that...

TCR representation learning with protein language models: a comprehensive review.

The T-cell receptor (TCR) repertoire is a valuable source of information that reflects an individual's immune status and infection history. However, d...

Sex and Stress Govern the Function and Innervation of a Basolateral Amygdala to Nucleus Accumbens Corticotropin-Releasing Hormone/GABA-Expressing Projection.

Motivated behaviors are executed by refined brain circuits. Early-life adversity (ELA) is a risk for human affective disorders involving dysregulated ...

Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges.

PURPOSE OF REVIEW: The clinical presentation of pediatric bacterial pneumonia often overlaps with that of other respiratory conditions, posing conside...

Identification of Risk Factors and Development of Machine Learning Prediction Models for Inpatient Calcium Pyrophosphate Deposition Disease Flares.

OBJECTIVE: The risk factors for inpatient calcium pyrophosphate deposition disease (CPPD) flares remain poorly defined. This study aimed to identify i...

AI-Based D-Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug-Resistant Bacterial Infection.

D-amino acid substitution provides an effective strategy for optimizing antimicrobial peptides (AMPs) by enhancing their stability. However, the absen...

Plasma proteomics biomarkers for predicting anti-tuberculosis drug-induced liver injury: A comprehensive assessment.

AIMS: This study aims to identify predictive plasma protein biomarkers for anti-tuberculosis drug-induced liver injury (ATB-DILI) and develop machine ...

Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.

Candida auris, an increasingly prevalent fungal pathogen, requires both rapid identification and antifungal susceptibility testing to enable proper tr...

Optimizing sepsis mortality prediction using hybrid federated learning and explainable AI framework.

Prediction hospital mortality for critical illness lung cancer patients with pneumonia.

Integrating deep-learning methods and web-based data sources for surveillance, forecasting and early warning of avian influenza.

Highly pathogenic avian influenza (HPAI), especially the H5N1 subtype has caused repeated global outbreaks, primarily affecting birds, but occasionall...

Machine learning reveals sequence and methylation determinants of SaCas9-PAM interactions in bacteria.

Cas9 nucleases defend bacteria against invading DNA and can be used with single guide RNAs (sgRNAs) as antimicrobials and genome-editing tools. Howeve...

Intrinsically disordered proteins and liquid-liquid phase separation in drug discovery.

Intrinsically disordered proteins (IDPs) and their involvement in liquid-liquid phase separation (LLPS) have reshaped our understanding of how cells o...

Dbert2_LR: A deep learning-based model for predicting cis-regulatory elements in crops.

Cis-regulatory elements (CREs) are key determinants of gene expression underlying complex agronomic traits. However, accurately identifying CREs in cr...