Machine learning for sperm selection

JB You, C McCallum, Y Wang, J Riordon… - Nature Reviews …, 2021 - nature.com
Infertility rates and the number of couples seeking fertility care have increased worldwide
over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are …

Advances in sperm analysis: techniques, discoveries and applications

C Dai, Z Zhang, G Shan, LT Chu, Z Huang… - Nature Reviews …, 2021 - nature.com
Infertility affects one in six couples worldwide, and fertility continues to deteriorate globally,
partly owing to a decline in semen quality. Sperm analysis has a central role in diagnosing …

Deep learning-based selection of human sperm with high DNA integrity

C McCallum, J Riordon, Y Wang, T Kong… - Communications …, 2019 - nature.com
Despite the importance of sperm DNA to human reproduction, currently no method exists to
assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled …

[HTML][HTML] Artificial intelligence for sperm selection—A systematic review

P Cherouveim, C Velmahos, CL Bormann - Fertility and Sterility, 2023 - Elsevier
Despite the increasing number of assisted reproductive technologies based treatments
being performed worldwide, there has been little improvement in fertilization and pregnancy …

[HTML][HTML] Heat stress impairs male reproductive system with potential disruption of retinol metabolism and microbial balance in the testis of mice

KX Cao, ZC Deng, M Liu, YX Huang, JC Yang… - The Journal of …, 2023 - Elsevier
Background Heat stress (HS) has a harmful impact on the male reproductive system,
primarily by reducing the sperm quality. The testicular microenvironment plays an important …

[HTML][HTML] The andrological landscape in the twenty-first century: making sense of the advances in male infertility management for the busy clinicians

A Motawi, A Crafa, T Hamoda, R Shah… - International Journal of …, 2024 - mdpi.com
Male infertility represents a significant global problem due to its essential health, social, and
economic implications. It is unsurprising that scientific research is very active in this area and …

[HTML][HTML] Automated rare sperm identification from low-magnification microscopy images of dissociated microsurgical testicular sperm extraction samples using deep …

R Lee, L Witherspoon, M Robinson, JH Lee, SP Duffy… - Fertility and …, 2022 - Elsevier
Objective To develop a machine learning algorithm to detect rare human sperm in semen
and microsurgical testicular sperm extraction (microTESE) samples using bright-field (BF) …

Ensembled deep learning for the classification of human sperm head morphology

L Spencer, J Fernando, F Akbaridoust… - Advanced Intelligent …, 2022 - Wiley Online Library
Infertility is a growing global health concern, with male factor infertility contributing to half of
all cases. Semen analysis is crucial to infertility diagnostics. However, sperm morphology …

Current updates on involvement of artificial intelligence and machine learning in semen analysis

MK Panner Selvam, AK Moharana, S Baskaran… - Medicina, 2024 - mdpi.com
Background and Objectives: Infertility rates and the number of couples undergoing
reproductive care have both increased substantially during the last few decades. Semen …

Sulfur dioxide may predominate in the adverse effects of ambient air pollutants on semen quality among the general population in Hefei, China

F Zhang, H Li, W Xu, G Song, Z Wang, X Mao… - Science of the Total …, 2023 - Elsevier
Previous studies have reported potential adverse effects of exposure to ambient air
pollutants on semen quality in infertile men, but studies on the general population have …