Estimation of Plasma Volume by Machine Learning to Improve the Interpretation of the Athlete Biological Passport.

ABSTRACT: The identification of confounding factors related to plasma volume (PV) fluctuations is crucial for appropriate qualitative interpretations of Athlete Biological Passport (ABP) profiles. As part of ongoing efforts to remove PV variance from the concentration-based biomarkers such as hemoglobin concentration ([Hb]), a new machine learning model for blood volume (BV) estimation using a single complete blood count analysis was applied within the ABP framework. Forty existing ABP profiles from elite athletes and healthy control subjects were used. PV was estimated using a machine learning model trained on a previous dataset. First, a visual display of the estimated PV shift was added in overlay of individual profiles. Alternatively, individual [Hb] thresholds were adjusted in a new graphical p

SUBMITTER: Krumm B 

PROVIDER: S-EPMC12580168 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature