Focal Interest
Focal Interest

Oral microbiology and periodontitis research

External reference: https://openalex.org/T10257

  1. Salivary fingerprinting and neural network identified high-risk periodontitis in diabetes
    Lightweight neural networks analyze salivary metabolics via mass spectrometry to screen for periodontitis and diabetes, achieving 91.9% accuracy with minimal computational resources for clinical.
  2. Fused deep learning classified early enamel caries with high accuracy
    Deep learning framework with quantum-inspired feature fusion achieves 99.33% accuracy for automated enamel caries classification in intraoral photographs with visual explainability.
  3. Periodontitis is associated with higher acute myocardial infarction risk
    Systematic review confirms periodontitis increases acute myocardial infarction risk by 84%, with radiographic bone loss showing strongest association independent of traditional cardiovascular factors.
  4. Human and bacterial genetics shape oral microbiome variation
    Study of 12,519 individuals reveals how human genetic variants control oral microbiome composition and link to tooth decay risk through salivary enzyme abundance.
  5. Nasal microbiome linked to modest nasal epigenome variation
    Nasal microbiome composition shows modest but significant associations with epigenomic variation among adolescents, warranting investigation of environmental and developmental factors.
  6. Veillonella can lower the growth barrier for Porphyromonas gingivalis
    Study reveals how the oral pathogen Porphyromonas gingivalis persists below critical population thresholds through stochastic processes and facilitation by early colonizers like Veillonella parvula.
  7. Systemic health implications of dental prescribing in general practices.
    Systemic health effects of dental prescribing in general practice including NSAIDs, antibiotics, opioids, and antiseptic mouthwashes on cardiovascular, renal, hepatic, and microbiome function.