Unique Deep Radiomic Signature Shows NMN Treatment Reverses Morphology of Oocytes from Aged Mice

The purpose of this study is to develop a deep radiomic signature based on an artificial intelligence (AI) model. This radiomic signature identifies oocyte morphological changes corresponding to reproductive aging in bright field images captured by optical light microscopy. Oocytes were collected fr...

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Библиографические подробности

Главные авторы:	Abbas Habibalahi, Jared M. Campbell, Michael J. Bertoldo, Saabah B. Mahbub, Dale M. Goss, William L. Ledger, Robert B. Gilchrist, Lindsay E. Wu, Ewa M. Goldys
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-06-01
Серии:	Biomedicines
Предметы:	oocyte aging morphology machine learning NMN
Online-ссылка:	https://www.mdpi.com/2227-9059/10/7/1544
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