Can a computer model predict sepsis after severe burns?

NCT ID NCT07249762

Not yet recruiting Knowledge-focused Sponsor: Henry M. Jackson Foundation for the Advancement of Military Medicine Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study follows 40 adults with serious burn injuries to collect blood, tissue samples, and medical record data. Researchers will look for patterns that could help predict who will develop sepsis or other complications. The goal is to build a computer-based 'digital twin' model to improve burn care. No new treatments are being tested; participants receive standard care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a computer tool that helps doctors predict which burn patients are at high risk for sepsis, allowing earlier intervention.
What could go wrong: This is an early observational study with only 40 participants, so the findings may not apply to all burn patients. The computer model may not be accurate enough for real-world use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

adult acute respiratory distress syndrome burn Critical Illness Infections infectious disease with sepsis injury multiple organ dysfunction syndrome Sepsis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BURN INJURY CRITICAL ILLNESS MULTIPLE ORGAN DYSFUNCTION SYNDROME SEPSIS WOUND HEALING

Contacts and locations

Locations

Emory University-Grady Memorial Hospital

Atlanta, Georgia, 30303, United States
United States Army Institute of Surgical Research

Houston, Texas, 78234, United States
University of South Florida - Tampa General Hospital

Tampa, Florida, 33606, United States

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