Fertility Research Library
Discover the latest medical journal articles and conference presentation topics from US Fertility-affiliated authors.
Meeting the demand for fertility services: the present and future of reproductive endocrinology and infertility in the United States
Hariton E, Alvero R, Hill MJ, Mersereau JE, Perman S, Sable D, Wang F, Adamson GD, Coutifaris C, Craig LB, Hosseinzadeh P, Imudia AN, Johnstone EB, Lathi RB, Lin PC, Marsh EE, Munch M, Richard-Davis G, Roth LW, Schutt AK, Thornton K, Verrilli L, Weinerman RS, Young SL, Devine K. Meeting the demand for fertility services: the present and future of reproductive endocrinology and infertility in the United States. Fertil Steril. 2023 Oct;120(4):755-766. doi: 10.1016/j.fertnstert.2023.08.019. Epub 2023 Sep 4. PMID: 37665313.
Effects of pulsatile intravenous follicle-stimulating hormone treatment on ovarian function in women with obesity
Luu TH, Kuhn K, Bradford AP, Wempe MF, Wittenburg L, Johnson RL, Carlson NE, Kumar TR, Polotsky AJ. Effects of pulsatile intravenous follicle-stimulating hormone treatment on ovarian function in women with obesity. Fertil Steril. 2023 Oct;120(4):890-898. doi: 10.1016/j.fertnstert.2023.05.170. Epub 2023 Jun 3. PMID: 37276947; PMCID: PMC10526695.
An "iron-clad" link between obesity and accelerated depletion of the ovarian reserve
Johnson J, Polotsky AJ. An "iron-clad" link between obesity and accelerated depletion of the ovarian reserve. Fertil Steril. 2023 Oct;120(4):819-820. doi: 10.1016/j.fertnstert.2023.08.003. Epub 2023 Aug 5. PMID: 37544472.
FEASIBILITY OF INJECTING IMMATURE M1 OOCYTES IN TERMS OF BLASTOCYST AND EUPLOIDY RATES
FEASIBILITY OF INJECTING IMMATURE M1 OOCYTES IN TERMS OF BLASTOCYST AND EUPLOIDY RATES. Teets, Haley N., Kaskar, Khalied, VerMilyea, Matthew, Silverberg, Kaylen. Fertility and Sterility 2023 Oct;120(4):148. doi: 10.1016/j.fertnstert.2023.08.451
LOW ANTI-MÜLLERIAN HORMONE (AMH) SIGNIFICANTLY RELATED TO LOW NUMBER OF TOTAL BLASTOCYSTS AND LOW NUMBER OF EUPLOID BLASTOCYST DEVELOPMENT
LOW ANTI-MÜLLERIAN HORMONE (AMH) SIGNIFICANTLY RELATED TO LOW NUMBER OF TOTAL BLASTOCYSTS AND LOW NUMBER OF EUPLOID BLASTOCYST DEVELOPMENT. Sun, Samuel Yongxin, Adaniya, Glen, Aguirre, Martha C., VerMilyea, Matthew, Ballena, Amy, Bopp, Justin, Pecenica, Joshua Allen, Sun, Forrest. Fertility and Sterility 2023 Oct;120(4):5. doi: 10.1016/j.fertnstert.2023.08.071
Automated Morphology Grading of Blastocyst Stage Embryos from a Single Image Using Deep Learning
AUTOMATED MORPHOLOGY GRADING OF BLASTOCYST STAGE EMBRYOS FROM A SINGLE IMAGE USING DEEP LEARNING. Chang, Zeyu, Cho, Justina Hyunjii, Sakkas, Denny, Miller, Kathleen A., VerMilyea, Matthew, Barash, Oleksii O.. Loewke, Kevin E. Fertility and Sterility 2023 Oct;120(4):110. doi: 10.1016/j.fertnstert.2023.08.359
Effect of Reducing the Vitrification and Warming Times on Blastocyst Survival and Pregnancy Rates
Kaskar, Khalied, Sieren, Kristin R., Brabner, Vonda M., Huneke, Brogan R., Vermilyea, Lindsey, VerMilyea, Matthew, Silverberg, Kaylen. EFFECT OF REDUCING THE VITRIFICATION AND WARMING TIMES ON BLASTOCYST SURVIVAL AND PREGNANCY RATES. Fertility and Sterility 2023 Oct;120(4):143. doi: 10.1016/j.fertnstert.2023.08.439
Development of an Automated System for Morphological Classification of Embryos Using Image-Based Artificial Intelligence
Hall, Jonathan MM., Diakiw, Sonya M., VerMilyea, Matthew, Giménez, Carla, Martínez, Laura Conversa, Meseguer, Marcos, Van Nguyen, Tuc, Perugini, Don, Perugini, Michelle. DEVELOPMENT OF AN AUTOMATED SYSTEM FOR MORPHOLOGICAL CLASSIFICATION OF EMBRYOS USING IMAGE-BASED ARTIFICIAL INTELLIGENCE. Fertility and Sterility 2023 Oct;120(4):75. doi: 10.1016/j.fertnstert.2023.08.228.
Clinical Evaluation of a Machine Learning Model for Embryo Selection: A Double-Blinded Randomized Comparitive Reader Study
Barash, Oleksii O., Armijo, Fernanda Murillo, Cho, Justina Hyunjii, Suraj, Vaishali, Loewke, Kevin E., Swain, Jason E., Miller, Kathleen A., VerMilyea, Matthew. CLINICAL EVALUATION OF A MACHINE LEARNING MODEL FOR EMBRYO SELECTION: A DOUBLE-BLINDED RANDOMIZED COMPARATIVE READER STUDY. Fertility and Sterility 2023 Oct;120(4):1. doi: 10.1016/j.fertnstert.2023.08.063.
Prospective Analysis of an Epigenetic Biomarker Predictive of Sperm Quality (SPERMQT)
Miller, Ryan, VerMilyea, Matthew, Lipshultz, Larry, Olson, Andy, Kassab, Jordan G., Brogaard, Kristin. PROSPECTIVE ANALYSIS OF AN EPIGENETIC BIOMARKER PREDICTIVE OF SPERM QUALITY (SPERMQT). Fertility and Sterility 2023 Oct;120(4):328. doi: 10.1016/j.fertnstert.2023.08.941.
A Simple One-Step System Enhances the Availability of High-Quality Sperm for Assisted Reproductive Procedures
Prien, S., Moseley, T., Singh-Sharma, N., Liebermann, J., VerMilyea, M.D. and Penrose, L.L. (2023) A Simple One-Step System Enhances the Availability of High-Quality Sperm for Assisted Reproductive Procedures. Open Journal of Obstetrics and Gynecology, 13, 1676-1687. https://doi.org/10.4236/ojog.2023.1310141
Development of a Non-Invasive Artificial Intelligence Algorithm for Identification of Euploid Embryos With High Morphological Quality During IVF
VerMilyea M, Diakiw SM, Hall JMM., Giménez C, Martínez LC, Meseguer M, Miller KA, Devine K, Van NT, Perugini D, Perugini M.DEVELOPMENT OF A NON-INVASIVE ARTIFICIAL INTELLIGENCE ALGORITHM FOR IDENTIFICATION OF EUPLOID EMBRYOS WITH HIGH MORPHOLOGICAL QUALITY DURING IVF. Fertility and Sterility 2023 Oct;120(4):76-77. doi: 10.1016/j.fertnstert.2023.08.231.
Meeting the demand for fertility services: the present and future of reproductive endocrinology and infertility in the United States
Hariton E, Alvero R, Hill MJ, Mersereau JE, Perman S, Sable D, Wang F, Adamson GD, Coutifaris C, Craig LB, Hosseinzadeh P, Imudia AN, Johnstone EB, Lathi RB, Lin PC, Marsh EE, Munch M, Richard-Davis G, Roth LW, Schutt AK, Thornton K, Verrilli L, Weinerman RS, Young SL, Devine K. Meeting the demand for fertility services: the present and future of reproductive endocrinology and infertility in the United States. Fertil Steril. 2023 Oct;120(4):755-766. doi: 10.1016/j.fertnstert.2023.08.019. Epub 2023 Sep 4. PMID: 37665313.
Impact of an accessory cavitated uterine mass on fertility: case presentation and review of the literature
Strug M, Christmas A, Schoonover A, Romero VC, Cordoba M, Leary E, Thakur M. Impact of an accessory cavitated uterine mass on fertility: case presentation and review of the literature. F S Rep. 2023 Sep 28;4(4):402-409. doi: 10.1016/j.xfre.2023.09.001. PMID: 38204942; PMCID: PMC10774890.
Unlocking the potential of artificial intelligence (AI) in reproductive medicine: the JARG collection on assisted reproductive technology (ART) and machine learning
Curchoe CL, Letterie GS, Quaas AM. Unlocking the potential of artificial intelligence (AI) in reproductive medicine: the JARG collection on assisted reproductive technology (ART) and machine learning. J Assist Reprod Genet. 2023 Sep;40(9):2079-2080. doi: 10.1007/s10815-023-02893-x. Epub 2023 Jul 22. PMID: 37480420; PMCID: PMC10440317.
The mismatch in supply and demand: reproductive endocrinology and infertility workforce challenges and controversies
Adeleye AJ, Kawwass JF, Brauer A, Storment J, Patrizio P, Feinberg E. The mismatch in supply and demand: reproductive endocrinology and infertility workforce challenges and controversies. Fertil Steril. 2023 Sep;120(3 Pt 1):403-405. doi: 10.1016/j.fertnstert.2023.01.007. Epub 2023 Jan 13. PMID: 36642303.
Reproductive surgery: revisiting its origins and role in the modern management of fertility
Bortoletto P, Romanski PA, Petrozza JC, Pfeifer SM. Reproductive surgery: revisiting its origins and role in the modern management of fertility. Fertil Steril. 2023 Sep;120(3 Pt 1):539-550. doi: 10.1016/j.fertnstert.2023.02.031. Epub 2023 Mar 2. PMID: 36870592.
First Bologna, then Poseidon: What are we still missing to personalize care for patients undergoing assisted reproductive technology with a poor prognosis?
Sarkar P, Romanski PA, Devine K. First Bologna, then Poseidon: What are we still missing to personalize care for patients undergoing assisted reproductive technology with a poor prognosis? Fertil Steril. 2023 Sep;120(3 Pt 2):615-616. doi: 10.1016/j.fertnstert.2023.06.028. Epub 2023 Jun 29. PMID: 37391060.
Fine-tuning the dose of recombinant human follicle-stimulating hormone alfa to individualize treatment in ovulation induction and ovarian stimulation cycles: a real-world database analysis
Martini AE, Beall S, Ball GD, Hayward B, D'Hooghe T, Mahony MC, Collares F, Catherino AB. Fine-tuning the dose of recombinant human follicle-stimulating hormone alfa to individualize treatment in ovulation induction and ovarian stimulation cycles: a real-world database analysis. Front Endocrinol (Lausanne). 2023 Sep 1;14:1195632. doi: 10.3389/fendo.2023.1195632. PMID: 37727455; PMCID: PMC10505726.
UNLOCKING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE (AI) IN REPRODUCTIVE MEDICINE: THE JARG COLLECTION ON ASSISTED REPRODUCTIVE TECHNOLOGY (ART) AND MACHINE LEARNING
Curchoe CL, Letterie GS, Quaas AM. Unlocking the potential of artificial intelligence (AI) in reproductive medicine: the JARG collection on assisted reproductive technology (ART) and machine learning. J Assist Reprod Genet. 2023 Sep;40(9):2079-2080. doi: 10.1007/s10815-023-02893-x. Epub 2023 Jul 22. PMID: 37480420; PMCID: PMC10440317.