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EC23-041 Development of a Machine Learning Algorithm for Diagnosis of Feline Infectious Peritonitis

Despite recent advances, FIP remains a challenging disease to diagnose, especially in the “dry” form. As such, it is often not even suspected on basic bloodwork analysis. Subtle trends may be present that are suggestive of FIP but may be missed by humans. This study aims to use machine learning to determine if patterns of results are present that may be suggestive of FIP. (Bria Fund)

Grant ID: EC23-041

Status: Active

Year Funded: 2023

Amount awarded: $14,030

Investigator: Samantha J.M. Evans, The Ohio State University; Krystle L. Reagan, University of California- Davis