Skip to main navigation menu Skip to main content Skip to site footer
##common.pageHeaderLogo.altText##

Medical sciences and Public health

July 10, 2026; Bologna, Italy: IX International Scientific and Practical Conference «RICERCHE SCIENTIFICHE E METODI DELLA LORO REALIZZAZIONE: ESPERIENZA MONDIALE E REALTÀ DOMESTICHE»


MODERN LABORATORY DIAGNOSTICS METHODS OF INFERTILITY: A SYSTEMATIC REVIEW OF CURRENT TECHNOLOGIES, BIOMARKERS, AND CLINICAL APPLICATIONS


DOI
https://doi.org/10.36074/logos-10.07.2026.025
Published
13.07.2026

Abstract

Approximately 10–15% of couples worldwide have infertility and this is a serious health problem last 15-20 years. Progress in laboratory medicine expanded diagnostic capabilities over traditional hormonal, semen analysis and molecular genetics, immunoassays and artificial intelligence-based approaches. A comprehensive evaluation of current evidence is required to assess the clinical aviability  of all diagnostic markers technologies

References

  1. Brechka, N. M., Bondarenko, V. O., Morozenko, D. V. (2019). Effect of natural origin medicines on prooxidant-antioxidant system in the prostate rats and spermatogenesis under conditions of the experimental PROSTATITIS. Problems of Endocrine Pathology, 69(3), 98–105. https://doi.org/10.21856/j-PEP.2019.3.13
  2. Kadioglu A, Ortac M. The role of sperm DNA testing on male infertility. Transl Androl Urol. 2017 Sep;6(Suppl 4):S600-S603. doi: 10.21037/tau.2017.03.82. PMID: 29082186; PMCID: PMC5643647.
  3. Santorelli L, Caterino M, Costanzo M. Proteomics and Metabolomics in Biomedicine. Int J Mol Sci. 2023 Nov 29;24(23):16913. doi: 10.3390/ijms242316913. PMID: 38069240; PMCID: PMC10706996.
  4. Obianyo, Chekwube. (2025). The Integration of Artificial Intelligence (AI) and Machine Learning (ML) in Diagnostics and Personalized Medicine. Biomedical Journal of Scientific & Technical Research. 61. 10.26717/BJSTR.2025.61.009650.