NIH-funded research R01 grant

Creating a computer model to understand blood flow changes in diabetic retinopathy

Official title: Development and application of a high-fidelity computational model of diabetic retinopathy hemodynamics: Coupling single-cell biophysics with retinal vascular network topology and complexity

Funded at Rutgers, the State Univ of N.j. · NIH-11168170 · Data updated 2026-11-12

This study is creating a computer model to better understand how diabetes affects blood flow in the eyes of people with diabetic retinopathy, helping to reveal how these changes can lead to eye problems that current tests might miss.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionRutgers, the State Univ of N.j.
NIH-funded
Lab location1 site (Piscataway, United States)
Project startSeptember 1, 2021
Project endAugust 31, 2025
Funding year2024
Award (this year)$131,000
NIH project number3R01EY033003-04S1
Project IDNIH-11168170 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are adults aged 21 and older who have been diagnosed with diabetic retinopathy.

Less likely to help

Patients without diabetes or those who do not have diabetic retinopathy may not benefit from this research.

What this research studies

This research focuses on developing a high-performance computer model to simulate blood flow dynamics in the eyes of individuals with diabetic retinopathy. By analyzing how diabetes affects the biophysical properties of blood cells and their impact on retinal blood vessels, the study aims to uncover the mechanisms behind the disease's progression. The model will help predict how changes in blood flow and oxygen levels contribute to the development of retinal abnormalities. This innovative approach seeks to provide insights that current imaging techniques cannot offer.

Why it matters

Potential benefit: If successful, this research could lead to improved understanding and treatment options for diabetic retinopathy, potentially preventing vision loss.

How similar studies have gone: While there have been studies on diabetic retinopathy, this specific approach using high-fidelity computational modeling is relatively novel and has not been extensively tested.

Where this research is happening

  • Rutgers, the State Univ of N.j.
    Piscataway, United States
    Active

Researchers

  • Principal investigator: Bagchi, Prosenjit — Rutgers, the State Univ of N.j.
  • Study coordinator: Bagchi, Prosenjit

Related research

Other NIH-funded projects on the same topics.

  • Understanding blood flow changes in diabetic retinopathy

    This study looks at how diabetes impacts blood flow and the tiny blood vessels in the eye, which can cause vision issues, and aims to create a model that helps us understand these changes better, ultimately hoping to improve how we diagnose and treat diabetic eye problems for patients like you.

    NIH research Rutgers, the State Univ of N.j. · Piscataway, United States · NIH-10887584

  • New retinal imaging to detect brain small vessel disease

    A fast, wide-field eye imaging method will measure how tiny retinal blood vessels rhythmically flow to help detect early brain small vessel disease.

    NIH research University of Miami School of Medicine · Coral Gables, United States · NIH-11607100

  • Integrative multi-omics to understand diabetic retinopathy

    A doctor-scientist team will study blood markers and genetic signals to see why diabetic retinopathy happens and how it affects Hispanic/Latino people.

    NIH research University of Michigan at Ann Arbor · Ann Arbor, United States · NIH-11514593

  • Platelet markers and blood flow to predict recurrent stroke in intracranial artery disease

    Researchers will look at how a platelet protein (FcγRIIa) and blood flow patterns from CT angiography predict who might have another stroke after a minor stroke or TIA caused by intracranial artery disease.

    NIH research University of Southern California · Los Angeles, UNITED STATES · NIH-11504575

  • Smartphone retinal imaging for diabetic eye disease in Egypt

    This project uses a low-cost smartphone camera and AI to find signs of diabetic eye damage in adults with diabetes in Egypt.

    NIH research Kennesaw State University · Kennesaw, United States · NIH-11501665

  • Statistical methods to link high-dimensional heart-surgery data with outcomes

    This grant tests advanced data methods to find links between detailed intraoperative heart-surgery measurements and patient outcomes after procedures like CABG.

    NIH research Johns Hopkins University · Baltimore, United States · NIH-11448221

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.
Last reviewed 2026-11-14 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.