Work

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

Year: 2026

Type: article

Source: Andrology

DOI: 10.1111/andr.70375

Authors: Mahtab Talaei, Jennifer J. Yland, Zahra Zad, Martha Koenig, Amelia K. Wesselink, Michael L. Eisenberg, Lauren A. Wise, Ioannis Ch. Paschalidis

Institutions: Boston University, Stanford Medicine, Stanford University

Language: English

Topic: Reproductive Health and Technologies

Subfield: Reproductive Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: CPS: Medium: Federated Learning for Predicting Electricity Consumption with Mixed Global/Local Models, SCH: INT: Distributed Analytics for Enhancing Fertility in Families, PIPP Phase I: Predicting and Preventing Epidemic to Pandemic Transitions, G9000101137, G9000157430, G9000165346, An internet-based preconception cohort study in North America

OpenAlex ID: W7204496104

FWCI:

Cites: 51

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