Predicting Gum Disease with Advanced Models
Official title: Sequential Modeling for Prediction of Periodontal Diseases: an intra-Collaborative Practice-based Research study (ICPRS)
Funded at Temple Univ of the Commonwealth · NIH-11159438 · Data updated 2026-11-12
This project aims to create better ways to predict gum disease by looking at patient health information and oral bacteria.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Temple Univ of the Commonwealth NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | September 13, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $743,362 |
| NIH project number | 5U01DE033259-03 |
| Project ID | NIH-11159438 on NIH RePORTER |
Who could benefit from this research
✓Could help
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.
✕Less likely to help
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.
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.
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 gone: 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
-
Temple Univ of the Commonwealth
Philadelphia, United States Active
Researchers
- Principal investigator: Tellez Merchan, Marisol — Temple Univ of the Commonwealth
- Study coordinator: Tellez Merchan, Marisol
Related research
Other NIH-funded projects on the same topics.
-
Oral bacteria, gum disease, and oral HPV in people living with HIV
This project looks at how the mouth’s bacteria and gum disease relate to oral HPV in people with HIV, and what immune factors might be involved.
-
Mouth bacteria, gum disease, and oral HPV in people living with HIV
This project looks at whether mouth bacteria and gum disease are linked to getting or keeping oral HPV in people living with HIV.
-
Examining the links between tooth decay and gum disease
This study is looking at how tooth decay and gum disease are connected and how things like age, gender, and income might play a role, so we can find better ways to take care of your dental health.
-
Predicting periodontal diseases using advanced modeling techniques
This study is working on a new way to predict gum diseases using advanced technology and teamwork among health experts, so that both students and faculty can learn how to better care for patients' gum health.
-
The connection between oral bacteria, gum disease, and HPV infection in people with HIV
This study is looking at how the bacteria in your mouth and gum diseases might affect HPV infections in people living with HIV, and it wants to learn how social factors play a role in this, so we can better understand why HPV-related cancers are more common in this group.
-
Effect of Periodontal Therapy on Gut Microbes and Inflammation in People with Inflammatory Bowel Disease
This study tests whether treating gum disease in people with inflammatory bowel disease can influence the gut microbiome and markers of systemic inflammation.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.