Nikica Zaninovic
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Explore the profile of Nikica Zaninovic including associated specialties, affiliations and a list of published articles.
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49
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1265
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Recent Articles
1.
McCarter K, Deshpande M, Romanski P, Stratopoulou C, Zaninovic N, Tareen M, et al.
bioRxiv
. 2025 Mar;
PMID: 40060650
Women carrying the fragile X premutation (55-200 CGG repeat expansion, PM) are at risk for developing fragile X-associated primary ovarian insufficiency (FXPOI), which is preceded by fragile X-associated diminished ovarian...
2.
Toschi M, Bori L, Rocha J, Hickman C, Gouveia Nogueira M, Ferreira A, et al.
Int J Fertil Steril
. 2024 Nov;
18(4):378-383.
PMID: 39564830
Background: In recent times, various algorithms have been developed to assist in the selection of embryos for transfer based on artificial intelligence (AI). Nevertheless, the majority of AI models employed...
3.
Rajendran S, Brendel M, Barnes J, Zhan Q, Malmsten J, Zisimopoulos P, et al.
Nat Commun
. 2024 Sep;
15(1):7756.
PMID: 39237547
Assessing fertilized human embryos is crucial for in vitro fertilization, a task being revolutionized by artificial intelligence. Existing models used for embryo quality assessment and ploidy detection could be significantly...
4.
He C, Karpaviciute N, Hariharan R, Lees L, Jacques C, Ferrand T, et al.
Reprod Biomed Online
. 2024 Jan;
48(3):103654.
PMID: 38246064
Research Question: What can three-dimensional cell contact networks tell us about the developmental potential of cleavage-stage human embryos? Design: This pilot study was a retrospective analysis of two Embryoscope imaging...
5.
Cimadomo D, Forman E, Morbeck D, Liperis G, Miller K, Zaninovic N, et al.
Fertil Steril
. 2023 Nov;
120(6):1151-1159.
PMID: 38008467
No abstract available.
6.
Zaninovic N, Sierra J, Malmsten J, Rosenwaks Z
F S Sci
. 2023 Oct;
5(1):50-57.
PMID: 37820865
Objective: To evaluate the degree of agreement of embryo ranking between embryologists and eight artificial intelligence (AI) algorithms. Design: Retrospective study. Patient(s): A total of 100 cycles with at least...
7.
Rajendran S, Brendel M, Barnes J, Zhan Q, Malmsten J, Zisimopoulos P, et al.
bioRxiv
. 2023 Sep;
PMID: 37693566
Assessing fertilized human embryos is crucial for in vitro-fertilization (IVF), a task being revolutionized by artificial intelligence and deep learning. Existing models used for embryo quality assessment and chromosomal abnormality...
8.
Marinaro J, Brant A, Kang C, Punjani N, Xie P, Zaninovic N, et al.
Fertil Steril
. 2023 Jul;
120(5):996-1003.
PMID: 37517636
Objective: To determine the prevalence of sperm suitable for intracytoplasmic sperm injection (ICSI) in fresh ejaculated semen samples provided by men scheduled for a microdissection testicular sperm extraction (mTESE) procedure....
9.
Lustgarten Guahmich N, Borini E, Zaninovic N
Fertil Steril
. 2023 Jun;
120(4):729-734.
PMID: 37307892
Within the field of assisted reproductive technology, artificial intelligence has become an attractive tool for potentially improving success rates. Recently, artificial intelligence-based tools for sperm evaluation and selection during intracytoplasmic...
10.
Lustgarten Guahmich N, Man L, Wang J, Arazi L, Kallinos E, Topper-Kroog A, et al.
Commun Biol
. 2023 Jan;
6(1):7.
PMID: 36599970
Theca cells serve multiple essential functions during the growth and maturation of ovarian follicles, providing structural, metabolic, and steroidogenic support. While the function of theca during folliculogenesis is well established,...