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Peer-Reviewed Publication
Andrology2026August 27, 2026Journal Article

Predictive Models of Pregnancy Based on Male Partner Data From a Preconception Cohort Study.

Mahtab Talaei1,2, Jennifer J Yland3,4, Zahra Zad1,2, Martha Koenig4, Amelia K Wesselink4, Michael L Eisenberg5, Lauren A Wise4, Ioannis Ch Paschalidis1,2,6
1Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, Massachusetts, USA.
2Department of Electrical and Computer Engineering, and Division of Systems Engineering, Boston University, Boston, Massachusetts, USA.
3Optum Epidemiology, Boston, Massachusetts, USA.
4Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
5Department of Urology, Stanford University, Stanford, California, USA.
6Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.

Abstract

BACKGROUND: Male factors contribute to approximately 50% of couple infertility, yet few studies have used machine learning with comprehensive male partner lifestyle and behavioral data to predict spontaneous conception. OBJECTIVES: To develop and validate machine learning models predicting spontaneous conception using detailed self-reported male partner characteristics from a North American prosp…

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