Machine-learning algorithm incorporating capacitated sperm intracellular pH predicts conventional in vitro fertilization success in normospermic patients.
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DOI: 10.1016/j.fertnstert.2020.10.038
Abstract: OBJECTIVE To measure human sperm intracellular pH (pHi) and develop a machine-learning algorithm to predict successful conventional in vitro fertilization (IVF) in normospermic patients. DESIGN Spermatozoa from 76 IVF patients were capacitated in vitro. Flow cytometry was… read more here.
Keywords: fertilization; machine learning; ivf; normospermic patients ... See more keywords