Abstract
To fertilize an oocyte, spermatozoa must capacitate, during which their membrane potential (Em) becomes hyperpolarized and their intracellular pH (pHi) increases. In normospermic males, absolute values of sperm Em and pHi positively correlate with conventional in vitro fertilization (IVF) success rates. The objective of this study was to develop a machine learning algorithm using spermatozoa Em and pHi as well as other clinical parameters to predict success of conventional IVF in normospermic couples.
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