UF Health Sepsis Study Uses AI Technology, Urinary Cellular Gene Expression for Early Detection (UF Health Newsroom)

UF Health Sepsis Study Uses AI Technology, Urinary Cellular Gene Expression for Early Detection

A groundbreaking study conducted by a multidisciplinary team of researchers at the University of Florida Sepsis and Critical Illness Research Center explores how urine analysis during early onset of sepsis may help determine the likelihood of chronic kidney problems in the long term.

Sepsis is a life-threatening condition that occurs when the body’s response to infection injures its own tissue or organs. Each year, according to the Centers for Disease Control and Prevention, more than 1.5 million American adults develop sepsis. Many suffer long-term, chronic effects from the serious condition, which also can cause organ failure.

The study, “Discovery and Validation of Urinary Molecular Signature of Early Sepsis,” was led by Azra Bihorac, M.D., the R. Glenn Davis Professor of Medicine, Surgery and Anesthesiology in the UF College of Medicine’s division of nephrology, hypertension and renal transplantation.

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