Improving predictions for health outcomes in pediatric organ transplantation in Florida

Prediction of Health Outcomes and Adverse Events in Pediatric Organ Transplantation in Florida

NIH-funded research Florida State University · NIH-10570260

This study is looking to improve how we predict health outcomes for kids who have had organ transplants by using smart computer techniques to analyze their health records and other important information, so we can better understand what helps them stay healthy after their surgery.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionFlorida State University NIH-funded
Lab location1 site (Tallahassee, United States)
Project IDNIH-10570260 on NIH RePORTER

What this research studies

This research aims to enhance the prediction of health outcomes for children who have undergone organ transplantation by utilizing advanced machine learning techniques. By analyzing electronic health records, organ sharing data, and clinical notes from major transplant centers in Florida, the study seeks to identify key risk factors that influence patient and graft survival. The approach involves integrating various data sources to create more accurate predictive models, ultimately aiming to improve the care and outcomes for pediatric transplant patients.

Who could benefit from this research

Good fit: Ideal candidates for this research are children who have received or are awaiting organ transplants in Florida.

Not a fit: Patients who are not undergoing organ transplantation or are outside the pediatric age range may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to better prediction of health outcomes, allowing for more personalized care and improved survival rates for pediatric organ transplant patients.

How similar studies have performed: Previous research has shown promise in using machine learning for predicting posttransplant outcomes, but this study aims to advance the field by addressing current limitations in predictive accuracy.

Where this research is happening

Tallahassee, 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.