ASRM 2024 ePoster

Corresponding Author Contact Info

Mylene W. M. Yao, MD, Department of R&D, Univfy Inc.

171 Main Street, Suite #139, Los Altos, CA 94022, US

Email: mylene.yao@univfy.com

References

Jenkins J, van der Poel S, Krüssel J, Bosch E, Nelson SM, Pinborg A, Yao MW. Empathetic application of machine learning may address appropriate utilization of ART. Reproductive BioMedicine Online 2020; 41:573-577.

Banerjee P, Choi B, Shahine LK, Jun SH, O'Leary K, Lathi RB, Westphal LM, Wong WH, Yao MW. Deep phenotyping to predict live birth outcomes in in vitro fertilization. Proc Natl Acad Sci U S A. 2010 Aug 3;107(31):13570-5. doi: 10.1073/pnas.1002296107. Epub 2010 Jul 19. PMID: 20643955; PMCID: PMC2922227.

McLernon DJ, Raja EA, Toner JP, Baker VL, Doody KJ, Seifer DB, Sparks AE, Wantman E, Lin PC, Bhattacharya S, Van Voorhis BJ. Predicting personalized cumulative live birth following in vitro fertilization. Fertil Steril. 2022 Feb;117(2):326-338. doi: 10.1016/j.fertnstert.2021.09.015. Epub 2021 Oct 19. PMID: 34674824.

Society for Assisted Reproductive Technology. URL: www.sart.org (last accessed May 10, 2024)

Yao MWM, Nguyen ET, Retzloff MG, Cadesky K, Gago LA, Copland S et al. Improving IVF utilization with patient-centric artificial intelligence-machine learning (AI/ML): a retrospective multicenter experience. J Clin Med 2024;13(12):3560. https://doi.org/10.3390/jcm13123560.

Yao MWM, J Jenkins, Nguyen ET, Swanson T, Menabrito M. Patient-centric IVF prognostics counseling using machine learning for the pragmatist. Semin Repro Med 2024, accepted.