Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis

Jiarui Wang; Shiyan Jiang; Jiaxin Shi; Jing Wang; Shengrong Du; Zufang Huang

doi:10.1142/S1793545825500038

Journal of Innovative Optical Health Sciences, Volume. 18, Issue 1, 2550003(2025)

Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis

Jiarui Wang1... Shiyan Jiang1, Jiaxin Shi1, Jing Wang1, Shengrong Du2,* and Zufang Huang1,** |Show fewer author(s)

¹Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, P. R. China

²Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350001, P. R. China

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Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang. Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis[J]. Journal of Innovative Optical Health Sciences, 2025, 18(1): 2550003

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Paper Information

Category: Research Articles

Received: Aug. 6, 2024

Accepted: Oct. 20, 2024

Published Online: Feb. 21, 2025

The Author Email: Du Shengrong (dushengrong2001@126.com), Huang Zufang (zfhuang@fjnu.edu.cn)

DOI:10.1142/S1793545825500038

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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