Predicting Anabolic Androgenic Steroid Doping among Specialized Health Care Patients with Elastic Net Regression Reveals Potential Laboratory Variables for “Patient Biological Passport”

The findings of this preliminary study suggest that AAS doping could be detected in clinical context using real-life longitudinal laboratory data. Further model development is encouraged, with added dimensions regarding the use of different AAS substances, length of doping use, and other background data that may further increase the diagnostic accuracy of these models.

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Publication Details

Journal
Sports Medicine - Open
Published
2025-05-01
DOI
https://doi.org/10.1186/s40798-025-00854-5
Primary Topic
Hormonal and reproductive studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Predicting Anabolic Androgenic Steroid Doping among Specialized Health Care Patients with Elastic Net Regression Reveals Potential Laboratory Variables for “Patient Biological Passport”

Mikko I. Mäyränpää, Ilkka Vauhkonen, Katarina Lindroos, Paula Katriina Vauhkonen et al.
2 links
Sports Medicine - Open
Hormonal and reproductive studies
article

Predicting Anabolic Androgenic Steroid Doping among Specialized Health Care Patients with Elastic Net Regression Reveals Potential Laboratory Variables for “Patient Biological Passport”

Mikko I. Mäyränpää, Ilkka Vauhkonen, Katarina Lindroos, Paula Katriina Vauhkonen, Jari K. Haukka
article en

Abstract

The findings of this preliminary study suggest that AAS doping could be detected in clinical context using real-life longitudinal laboratory data. Further model development is encouraged, with added dimensions regarding the use of different AAS substances, length of doping use, and other background data that may further increase the diagnostic accuracy of these models.

Sports Medicine - OpenVol. 11(1)
University of Helsinki (FI), Helsinki Institute of Physics (FI), Helsinki University Hospital (FI), Finnish Institute for Health and Welfare (FI), Novo Nordisk (Finland) (FI)
Helsingin Yliopisto
Openalex Percentile: Top 88%
Hormonal and reproductive studies
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