Robert J. Schroth

The paper integrates systems biology and machine learning to analyze bacterial signaling networks in OSCC, identifies key nodes, and designs multi-target ligands for the MAPK1-STAT3-mTOR axis.

The paper uses hierarchical machine learning to identify topological differences in autophagy networks between pathogenic and commensal oral bacteria in OSCC.

This study investigates the relationship between taste-related genetic variants and the dental plaque microbiome in early childhood caries, finding associations with Streptococcus mutans and social factors.

This study examines the dental plaque microbiome in early childhood caries, finding associations between specific microbes, socioeconomic factors, and host variables.

This study shows that T2R14 downregulates autophagy flux in gingival epithelial cells and that S. mutans CSP-1 induces calcium release dependent on T2R14 and autophagy protein 7.