Predicting Gum Disease with Advanced Models

Sequential Modeling for Prediction of Periodontal Diseases: an intra-Collaborative Practice-based Research study (ICPRS)

NIH-funded research Temple Univ of the Commonwealth · NIH-11159438

This project aims to create better ways to predict gum disease by looking at patient health information and oral bacteria.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionTemple Univ of the Commonwealth NIH-funded
Lab location1 site (Philadelphia, United States)
Project IDNIH-11159438 on NIH RePORTER

What this research studies

This project focuses on developing new computer models to predict who might get gum disease before it becomes severe. Researchers will use advanced techniques, including analyzing the types of bacteria in people's mouths and reviewing existing health records. The goal is to understand the patterns that lead to gum disease, helping dental professionals identify at-risk patients earlier. This work also involves training dental faculty and students in patient-focused research methods to build future research capacity.

Who could benefit from this research

Good fit: Patients with existing dental and medical records, particularly those with a history of gum health issues, could indirectly contribute to this research through their de-identified data.

Not a fit: Patients who do not have existing dental or medical records that can be accessed for this type of data analysis would not directly benefit from this specific research.

Why it matters

Potential benefit: If successful, this work could help dentists predict gum disease sooner, allowing for earlier treatment and potentially preventing more serious health issues.

How similar studies have performed: While the specific sequential modeling approach for periodontal disease prediction may be novel, similar data-driven predictive models have shown promise in other areas of medicine.

Where this research is happening

Philadelphia, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.