Multilevel approach to male fertility by machine learning highlights a hidden link between haematological and spermatogenetic cells-Reference-Cited by-同舟云学术

Multilevel approach to male fertility by machine learning highlights a hidden link between haematological and spermatogenetic cells

Published:2020-06-21 Issue:5 Volume:8 Page:1021-1029
ISSN:2047-2919
Container-title:Andrology
language:en
Short-container-title:Andrologia

Author:

Santi Daniele¹²^ORCID,Spaggiari Giorgia²,Casonati Andrea³,Casarini Livio¹⁴,Grassi Roberto³,Vecchi Barbara³,Roli Laura⁵,De Santis Maria Cristina⁵,Orlando Giovanna⁶,Gravotta Enrica⁷,Baraldi Enrica⁵,Setti Monica⁸,Trenti Tommaso⁵,Simoni Manuela¹²^ORCID

Affiliation:

1. Unit of Endocrinology Department of Biomedical, Metabolic and Neural Sciences University of Modena and Reggio Emilia Modena Italy

2. Unit of Endocrinology Department of Medical Specialties Azienda Ospedaliero‐Universitaria of Modena Modena Italy

3. Hopenly S.r.l. Vignola, Modena Italy

4. Center for the Genomic Research University of Modena and Reggio Emilia Modena Italy

5. Department of Laboratory Medicine and Anatomy Pathology Azienda USL of Modena Modena Italy

6. Medical Affair Fertility Merck‐Serono S.p.a Rome Italy

7. Medical Affairs Fertility EMEA Merck KGaA Darmstadt Germany

8. Service of Clinical Engineering Azienda Ospedaliero‐Universitaria of Modena Modena Italy

Funder

Ministero della Salute

Publisher

Wiley

Subject

Urology,Endocrinology,Reproductive Medicine,Endocrinology, Diabetes and Metabolism

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/andr.12826

Reference53 articles.

1. A unique view on male infertility around the globe

2. Clinical relevance of routine semen analysis and controversies surrounding the 2010 World Health Organization criteria for semen examination

3. Increased cancer risk and azoospermia

4. Increased risk of cancer among azoospermic men

5. Semen quality, infertility and mortality in the USA

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