The future of cryopreservation in assisted reproductive technologies

E Bosch, M De Vos, P Humaidan - Frontiers in endocrinology, 2020‏ - frontiersin.org
Societal changes and the increasing desire and opportunity to preserve fertility have
increased the demand for effective assisted reproductive technologies (ART) and have …

Novel Concepts for Inducing Final Oocyte Maturation in In Vitro Fertilization Treatment

A Abbara, SA Clarke, WS Dhillo - Endocrine reviews, 2018‏ - academic.oup.com
Infertility affects one in six of the population and increasingly couples require treatment with
assisted reproductive techniques. In vitro fertilization (IVF) treatment is most commonly …

The prospect of artificial intelligence to personalize assisted reproductive technology

S Hanassab, A Abbara, AC Yeung, M Voliotis… - npj Digital …, 2024‏ - nature.com
Abstract Infertility affects 1-in-6 couples, with repeated intensive cycles of assisted
reproductive technology (ART) required by many to achieve a desired live birth. In ART …

A novel predictive model to estimate the number of mature oocytes required for obtaining at least one euploid blastocyst for transfer in couples undergoing in vitro …

SC Esteves, JF Carvalho, FC Bento… - Frontiers in …, 2019‏ - frontiersin.org
The POSEIDON group (P atient-O riented S trategies E ncompassing I ndividualize DO ocyte
N umber) has introduced “the ability to retrieve the number of oocytes needed to achieve at …

[HTML][HTML] An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation

M Fanton, V Nutting, F Solano, P Maeder-York… - Fertility and …, 2022‏ - Elsevier
Objective To develop an interpretable machine learning model for optimizing the day of
trigger in terms of mature oocytes (MII), fertilized oocytes (2PNs), and usable blastocysts …

[HTML][HTML] A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes

E Hariton, EA Chi, G Chi, JR Morris, J Braatz… - Fertility and …, 2021‏ - Elsevier
Objective To determine whether a machine learning causal inference model can optimize
trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable …

Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning

NA Pérez-Padilla, R Garcia-Sanchez, O Avalos… - Computers in Biology …, 2024‏ - Elsevier
Various studies have emphasized the importance of identifying the optimal Trigger Timing
(TT) for the trigger shot in In Vitro Fertilization (IVF), which is crucial for the successful …

Validation of ART calculator for predicting the number of metaphase II oocytes required for obtaining at least one euploid blastocyst for transfer in couples undergoing …

SC Esteves, H Yarali, FM Ubaldi, JF Carvalho… - Frontiers in …, 2020‏ - frontiersin.org
This multicenter study evaluated the reliability of the recently published ART calculator for
predicting the minimum number of metaphase II (MII) oocytes (MIImin) to obtain at least one …

How to identify patients who would benefit from delayed-matured oocytes insemination: a sibling oocyte and ploidy outcome study

I Elkhatib, D Nogueira, A Bayram, A Abdala… - Human …, 2023‏ - academic.oup.com
STUDY QUESTION Which patients might benefit from insemination of delayed-matured
oocytes? SUMMARY ANSWER Delayed-matured oocytes had a≥ 50% contribution to the …

Endocrine requirements for oocyte maturation following hCG, GnRH agonist, and kisspeptin during IVF treatment

A Abbara, T Hunjan, VNA Ho, SA Clarke… - Frontiers in …, 2020‏ - frontiersin.org
Objective The maturation of oocytes to acquire competence for fertilization is critical to the
success of in vitro fertilization (IVF) treatment. It requires LH-like exposure, provided by …