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A Preliminary Machine Learning Assessment of Oxidation-Reduction Potential and Classical Sperm Parameters as Predictors of Sperm DNA Fragmentation Index.

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Title: A Preliminary Machine Learning Assessment of Oxidation-Reduction Potential and Classical Sperm Parameters as Predictors of Sperm DNA Fragmentation Index.
Authors: Oikonomou, Emmanouil D.1, Moustakli, Efthalia1,2, Zikopoulos, Athanasios3, Dafopoulos, Stefanos4, Prapa, Ermioni5, Gkountis, Antonis-Marios5,6, Zachariou, Athanasios6,7, Pantou, Agni7,8, Giannakeas, Nikolaos1, Pantos, Konstantinos2,7, Tzallas, Alexandros T.1,3, tzallas@uoi.gr, Dafopoulos, Konstantinos4,8
Source: DNA (2673-8856); Mar2026, Vol. 6 Issue 1, p3, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192660230
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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        Value: 10.3390/dna6010003
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      – Code: eng
        Text: English
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      – TitleFull: A Preliminary Machine Learning Assessment of Oxidation-Reduction Potential and Classical Sperm Parameters as Predictors of Sperm DNA Fragmentation Index.
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              Text: Mar2026
              Type: published
              Y: 2026
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