periodontitis

NHANES 中重度牙周炎识别：比较化验信息与算法复杂度的增量价值，包含跨周期验证、SHAP/EBM 分析与交互 demo。

Better health starts with accurate health information. Open benchmarks for trustworthy dental records and accurate AI health answers: PerioBench, OralHealthBench. Synthetic data. Personal project, not affiliated.

Periodontitis risk screening from 14 self-reported questions — temporally validated on NHANES, calibrated, TRIPOD+AI. Private in-browser app + pip package.

Oral metagenomic analysis of antimicrobial resistance genes associated with periodontitis

ClinicalTrials.gov API analysis of oral health trials: phases, sponsors, status, and results posting

Reproducible 16S rRNA analysis of the oral microbiome in periodontitis: pre-registered hypotheses, negative controls and a replication cohort

Single-cell RNA-seq analysis of periodontitis PBMC samples using Seurat. Performed quality control, dimensionality reduction (PCA, UMAP), clustering, marker gene identification, and immune cell annotation to characterize cellular heterogeneity in GSE174609.

Code, Colab notebooks and exported data for a dynamical model of periodontitis in which the host response threshold is a slowly recovering adaptive state. Reference implementation, regression tests and archived results for the paper on post-therapy vulnerability and relapse.

R code & workflow for the JDR paper on oral microbiota transplant in dogs. Covers 16S rRNA gene sequence processing (DADA2), analysis (phyloseq), statistics, and animated plots (gganimate).

Machine learning project using NHANES dataset to predict periodontitis prevalence and severity with model evaluation.

Post hoc audit of target construction and age-proxy signal in the public BRAR panoramic-radiograph release; record-level analyses, not clinical validation.

Spatially resolved destructive-niche cartography in inflamed oral mucosa from 10x Visium (GSE206621). Manuscript in preparation, not peer reviewed. Not image reconstruction: the decoded output is a continuous scalar field, not bone.