Page 18 - GTM-2-2

Global Translational Medicine Clinical algorithms in ART

42. Vanderzwalmen P, Ectors F, Panagiotidis Y, et al., 2020, The technology treatment. JAMA Netw Open, 6: e2249395.
evolution of the cryopreservation techniques in reproductive
medicine-exploring the character of the vitrified state intra- https://doi.org/10.1001/jamanetworkopen.2022.49395
and extracellularly to better understand cell survival after 45. Blair DL, Morgan HM, McLernon DJ, 2021, Women’s
cryopreservation. Reprod Med, 1: 142–157. perspectives on smartphone apps for fertility tracking
https://doi.org/10.3390/reprodmed1020011 and predicting conception: A mixed methods study. Eur J
Contracept Reprod Health Care, 26: 119–127.
43. Aplin JD, Stevens A, 2022, Use of ‘omics for endometrial
timing. Hum Reprod, 37: 644–650. https://doi.org/10.1080/13625187.2021.1874336
https://doi.org/10.1093/humrep/deac022 46. Lee C, Willis A, Chen C, et al., 2023, Development of a
machine learning model for sonographic assessment of
44. Correia KF, Missmer SA, Weinerman R, et al., 2023,
Development of a model to estimate the optimal number of gestational age. JAMA Netw Open, 6: e2248685.
oocytes to attempt to fertilize during assisted reproductive https://doi.org/10.1001/jamanetworkopen.2022.48685

Volume 2 Issue 2 (2023) 12 https://doi.org/10.36922/gtm.0308