Nagana Gowda G A

No ORCID on file · 2 papers in corpus
other 2023
Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction
Reproductive sciences (Thousand Oaks, Calif.) ·doi:10.1007/s43032-022-01071-1

This study investigated whether combining metabolomic and embryologic data with machine learning (ML) models improve the prediction of embryo implantation potential. In this prospective cohort study, infertile couples (n=56) undergoing day-…

rct 2022
ICSI in non-male factor infertility patients does not alter metabolomic signature in sibling embryos as evidenced by sensitivity enhanced nuclear magnetic resonance (NMR) spectroscopy
PloS one ·doi:10.1371/journal.pone.0273321

Intracytoplasmic sperm injection (ICSI) was developed to overcome male factor infertility, however, there recently has been an increasing trend in ICSI usage irrespective of the etiology, demonstrating an overuse of this insemination techni…