Predicting obesity-related diabetes and wound healing with math models

Who could benefit from this research

What this research studies

This project creates a predictive mathematical model that links obesity, diabetes, and chronic wounds by incorporating key body processes, including how the liver handles glucose and glycogen. It uses patient-relevant factors like insulin resistance and hormone changes to simulate disease progression. The work aims to replace fixed parameters with dynamic, data-driven functions to reflect real physiology in adults with obesity-related diabetes. If successful, the model could help guide personalized prevention and treatment decisions in clinical care.

Why it matters

Where this research is happening

• Rochester Institute of Technology
  Rochester, United States Active

Researchers

• Principal investigator: Siewe, Nourridine — Rochester Institute of Technology
• Study coordinator: Siewe, Nourridine

Related research

Other NIH-funded projects on the same topics.

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  NIH research University of California, San Francisco · San Francisco, United States · NIH-11303260

• Personalized nutrition guided by continuous glucose monitors for type 2 diabetes

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• Reducing food insecurity for African American adults with diabetes

  This study is looking at how not having enough food affects African American adults with Type 2 diabetes and is testing whether sending them food boxes or giving them food vouchers helps them manage their blood sugar better, or if using both together works best.

  NIH research State University of New York at Buffalo · Amherst, United States · NIH-11186463

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.