Optimizing oocyte yield: unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning

Simon Hanassab; Ali Abbara; Tom W. Kelsey; Arthur C. Y. Yeung; Artsiom Hramyka; Toulin Alhamwi; Rehan Salim; Alexander N. Comninos; Geoffrey H. Trew; Scott M. Nelson; Thomas Heinis; Waljit S. Dhillo

doi:10.1016/j.fertnstert.2023.08.132

Optimizing oocyte yield: unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning

Simon Hanassab, Ali Abbara, Tom W. Kelsey, Arthur C. Y. Yeung, Artsiom Hramyka, Toulin Alhamwi, Rehan Salim, Alexander N. Comninos, Geoffrey H. Trew, Scott M. Nelson, Thomas Heinis, Waljit S. Dhillo

Research output: Contribution to journal › Abstract › peer-review

Original language	English
Pages (from-to)	e34-e35
Number of pages	2
Journal	Fertility and Sterility
Volume	120
Issue number	4 Supplement
Early online date	6 Oct 2023
DOIs	https://doi.org/10.1016/j.fertnstert.2023.08.132
Publication status	Published - 16 Oct 2023
Event	79th Scientific Congress of the American Society for Reproductive Medicine - New Orleans, United States Duration: 14 Oct 2023 → 18 Oct 2023 https://asrmcongress.org/attendees/past-meetings/asrm-2023-new-orleans/

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Hanassab, S., Abbara, A., Kelsey, T. W., Yeung, A. C. Y., Hramyka, A., Alhamwi, T., Salim, R., Comninos, A. N., Trew, G. H., Nelson, S. M., Heinis, T., & Dhillo, W. S. (2023). Optimizing oocyte yield: unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning. Fertility and Sterility, 120(4 Supplement), e34-e35. https://doi.org/10.1016/j.fertnstert.2023.08.132

@article{9d15fb19ea3d4be19d40bf1000ddea93,

title = "Optimizing oocyte yield: unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning",

author = "Simon Hanassab and Ali Abbara and Kelsey, \{Tom W.\} and Yeung, \{Arthur C. Y.\} and Artsiom Hramyka and Toulin Alhamwi and Rehan Salim and Comninos, \{Alexander N.\} and Trew, \{Geoffrey H.\} and Nelson, \{Scott M.\} and Thomas Heinis and Dhillo, \{Waljit S.\}",

note = "Funding: The Department of Metabolism, Digestion, and Reproduction at Imperial College London is funded by grants from the MRC and NIHR. S.H. is supported by the UKRI CDT in AI for Healthcare http://ai4health. io (EP/S023283/1). A.A. is supported by an NIHR Clinician Scientist Award (CS-2018-18-ST2-002). W.S.D. is supported by an NIHR Senior Investigator Award (NIHR202371).; 79th Scientific Congress of the American Society for Reproductive Medicine, ASRM 2023 ; Conference date: 14-10-2023 Through 18-10-2023",

year = "2023",

month = oct,

day = "16",

doi = "10.1016/j.fertnstert.2023.08.132",

language = "English",

volume = "120",

pages = "e34--e35",

journal = "Fertility and Sterility",

issn = "0015-0282",

publisher = "Elsevier Inc.",

number = "4 Supplement",

url = "https://asrmcongress.org/attendees/past-meetings/asrm-2023-new-orleans/",

}

Hanassab, S, Abbara, A, Kelsey, TW, Yeung, ACY, Hramyka, A, Alhamwi, T, Salim, R, Comninos, AN, Trew, GH, Nelson, SM, Heinis, T & Dhillo, WS 2023, 'Optimizing oocyte yield: unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning', Fertility and Sterility, vol. 120, no. 4 Supplement, pp. e34-e35. https://doi.org/10.1016/j.fertnstert.2023.08.132

TY - JOUR

T1 - Optimizing oocyte yield

T2 - 79th Scientific Congress of the American Society for Reproductive Medicine

AU - Hanassab, Simon

AU - Abbara, Ali

AU - Kelsey, Tom W.

AU - Yeung, Arthur C. Y.

AU - Hramyka, Artsiom

AU - Alhamwi, Toulin

AU - Salim, Rehan

AU - Comninos, Alexander N.

AU - Trew, Geoffrey H.

AU - Nelson, Scott M.

AU - Heinis, Thomas

AU - Dhillo, Waljit S.

N1 - Funding: The Department of Metabolism, Digestion, and Reproduction at Imperial College London is funded by grants from the MRC and NIHR. S.H. is supported by the UKRI CDT in AI for Healthcare http://ai4health. io (EP/S023283/1). A.A. is supported by an NIHR Clinician Scientist Award (CS-2018-18-ST2-002). W.S.D. is supported by an NIHR Senior Investigator Award (NIHR202371).

PY - 2023/10/16

Y1 - 2023/10/16

U2 - 10.1016/j.fertnstert.2023.08.132

DO - 10.1016/j.fertnstert.2023.08.132

M3 - Abstract

SN - 0015-0282

VL - 120

SP - e34-e35

JO - Fertility and Sterility

JF - Fertility and Sterility

IS - 4 Supplement

Y2 - 14 October 2023 through 18 October 2023

ER -