Page 59 - ESHRE2019
P. 59
MONDAY, 24 JUNE 2019
SELECTED ORAL COMMUNICATIONS
10:00 - 11:30 Mozart
Session 02: Novel approaches for predicting embryo viability
Chairs: I. Sfontouris (Greece)
M. Hörmann-Kröpfl (Austria)
10:00 O-003
10:15 O-004
Mapping the follicular fluid bio-molecular profile: Dynamic interactions set the algorithm for oocyte maturation, embryo development and successful outcomes in IVF cycles
N. Chimote1, B. Chimote2
1Vaunshdhara Fertility Centre, Embryology & Reproductive Endocrinology, Nagpur, India 2Vaunshdhara Fertility Centre, Embryology- Reproductive Endocrinology, Nagpur, India
Artificial intelligence (AI) technology can predict human embryo viability across multiple laboratories with varying demographics with high accuracy and reproducibility
M. VerMilyea1,2, A. Miller1, A. Picou1, M. Lane3,4, G. Adaniya5, B. Bopp6, D. Morbeck7, E. Behnke8, L. Click8, R. Matthews9, A. Lim10, J. Hall11, A. Murphy11, D. Perugini11, M. Perugini11
1Ovation Fertility, Laboratory, Austin, U.S.A.
2Texas Fertility Center, Clinic, Austin, U.S.A.
3Monash IVF Group, Laboratory, Richmond, Australia 4Repromed, Laboratory, Adelaide, Australia
5Ovation Fertility, Laboratory, Indianapolis, U.S.A.
6Midwest Fertility Specialists, Clinic, Carmel, U.S.A. 7Fertility Associates, Laboratory, Auckland, New Zealand 8Ovation Fertility, Laboratory, Cincinnati, U.S.A.
9Oregon Reproductive Medicine, Laboratory, Portland, U.S.A. 10Alpha Fertility Centre, Laboratory, Petaling Jaya, Malaysia 11Life Whisperer, Company, Adelaide, Australia
The presence of filopodia in human blastocysts is associated with the probability of clinical pregnancy with fetal heart
J. Eastick1, S. Cooke2, C. Venetis3, M. Chapman4 1IVFAustralia, Embryology, New Lambton Heights, Australia 2IVFAustralia, Scientific Director, Greenwich, Australia 3IVFAustralia, Clinical, Greenwich, Australia
4IVFAustralia, Clinical, Greemwich, Australia
10:30 O-005
SCIENTIFIC PROGRAMME, MONDAY, 24 JUNE I VIENNA, AUSTRIA – 23 TO 26 JUNE 2019 59
SCIENTIFIC PROGRAMME MONDAY, 24 JUNE