scholarly journals Solving the "right" problems for effective machine learning driven in vitro fertilization

2021 ◽  
Author(s):  
Itay Erlich ◽  
Assaf Ben-Meir ◽  
Iris Har-Vardi ◽  
James A Grifo ◽  
Assaf Zaritsky
Keyword(s):  
Machine Learning ◽  
In Vitro Fertilization ◽  
Clinical Factors ◽  
Vitro Fertilization ◽  
Data Intensive ◽  
Live Embryo ◽  
The Right ◽  
Visual Properties ◽  
Selection Of

Automated live embryo imaging has transformed in-vitro fertilization (IVF) into a data-intensive field. Unlike clinicians who rank embryos from the same IVF cycle cohort based on the embryos visual quality and determine how many embryos to transfer based on clinical factors, machine learning solutions usually combine these steps by optimizing for implantation prediction and using the same model for ranking the embryos within a cohort. Here we establish that this strategy can lead to sub-optimal selection of embryos. We reveal that despite enhancing implantation prediction, inclusion of clinical properties hampers ranking. Moreover, we find that ambiguous labels of failed implantations, due to either low quality embryos or poor clinical factors, confound both the optimal ranking and even implantation prediction. To overcome these limitations, we propose conceptual and practical steps to enhance machine-learning driven IVF solutions. These consist of separating the optimizing of implantation from ranking by focusing on visual properties for ranking, and reducing label ambiguity.

scholarly journals Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Qingsong Xi ◽  
Qiyu Yang ◽  
Meng Wang ◽  
Bo Huang ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
In Vitro Fertilization ◽  
Endometrial Thickness ◽  
Learning System ◽  
Embryo Selection ◽  
Selection Strategy ◽  
Application Study ◽  
Vitro Fertilization ◽  
The Impact

Abstract Background To minimize the rate of in vitro fertilization (IVF)- associated multiple-embryo gestation, significant efforts have been made. Previous studies related to machine learning in IVF mainly focused on selecting the top-quality embryos to improve outcomes, however, in patients with sub-optimal prognosis or with medium- or inferior-quality embryos, the selection between SET and DET could be perplexing. Methods This was an application study including 9211 patients with 10,076 embryos treated during 2016 to 2018, in Tongji Hospital, Wuhan, China. A hierarchical model was established using the machine learning system XGBoost, to learn embryo implantation potential and the impact of double embryos transfer (DET) simultaneously. The performance of the model was evaluated with the AUC of the ROC curve. Multiple regression analyses were also conducted on the 19 selected features to demonstrate the differences between feature importance for prediction and statistical relationship with outcomes. Results For a single embryo transfer (SET) pregnancy, the following variables remained significant: age, attempts at IVF, estradiol level on hCG day, and endometrial thickness. For DET pregnancy, age, attempts at IVF, endometrial thickness, and the newly added P1 + P2 remained significant. For DET twin risk, age, attempts at IVF, 2PN/ MII, and P1 × P2 remained significant. The algorithm was repeated 30 times, and averaged AUC of 0.7945, 0.8385, and 0.7229 were achieved for SET pregnancy, DET pregnancy, and DET twin risk, respectively. The trend of predictive and observed rates both in pregnancy and twin risk was basically identical. XGBoost outperformed the other two algorithms: logistic regression and classification and regression tree. Conclusion Artificial intelligence based on determinant-weighting analysis could offer an individualized embryo selection strategy for any given patient, and predict clinical pregnancy rate and twin risk, therefore optimizing clinical outcomes.

IS THERE A "RIGHT" OF PARENTHOOD?

PEDIATRICS ◽  
1994 ◽  
Vol 93 (4) ◽  
pp. 646-646
Keyword(s):  
In Vitro Fertilization ◽  
Modern Medicine ◽  
High Tech ◽  
Health Insurance Company ◽  
Insurance Company ◽  
Vitro Fertilization ◽  
Infertility Treatments ◽  
The Right ◽  
Mass Starvation

A woman was enraged (recently) because her health insurance company, after paying for two unsuccessful attempts at in vitro fertilization, had refused to reimburse her for further infertility treatments. "They're depriving me of my right to become a mother," she said, "and I'm going to sue them." But where is it written that our society owes everyone the "right" to become a parent, regardless of the financial or ethical cost?... Almost no one has questioned the notion of parenthood as a right and infertility as a disaster that must be fought with all the high-tech tools of modern medicine . . . but when infertility is viewed simply as one misfortune on a scale of sorrows—less horrible, say, than mind destroying diseases or mass starvation—the ethical balance looks quite different.

Selection of Reference miRNAs for Relative Quantification in Buffalo (Bubalus bubalis) Blastocysts Produced by Hand-Made Cloning and In Vitro Fertilization

2019 ◽  
Vol 21 (4) ◽  
pp. 200-209 ◽  
Author(s):  
Swati Viviyan Lagah ◽  
Tanushri Jerath Sood ◽  
Prabhat Palta ◽  
Manishi Mukesh ◽  
Manmohan Singh Chauhan ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Bubalus Bubalis ◽  
Relative Quantification ◽  
Vitro Fertilization ◽  
Selection Of ◽  
Reference Mirnas

scholarly journals Selection of first in vitro fertilization (IVF) cycle stimulation protocol for good prognosis patients: GnRH antagonist vs. agonist protocols

2007 ◽  
Vol 88 ◽  
pp. S152
Author(s):  
E.B. Johnston-MacAnanny ◽  
A.J. DiLuigi ◽  
L.L. Engmann ◽  
D.B. Maier ◽  
C.A. Benadiva ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Gnrh Antagonist ◽  
Good Prognosis ◽  
Stimulation Protocol ◽  
Vitro Fertilization ◽  
Selection Of

Selection of superior stimulation protocols for follicular development in a program for in vitro fertilization

1985 ◽  
Vol 43 (2) ◽  
pp. 251-254 ◽  
Author(s):  
Michael P. Diamond ◽  
Bobby W. Webster ◽  
Catherine H. Garner ◽  
William K. Vaughn ◽  
Wayne S. Maxson ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Follicular Development ◽  
Vitro Fertilization ◽  
Selection Of

scholarly journals El Estatuto Constitucional del no nacido: evolución y situación actual en España // The constitutional status of the unborn: evolution and current situation in Spain

2018 ◽  
Vol 1 (102) ◽  
pp. 47
Author(s):  
Ángel José Gómez Montoro
Keyword(s):  
In Vitro Fertilization ◽  
Human Life ◽  
Human Embryos ◽  
Constitutional Court ◽  
Right To Life ◽  
Vitro Fertilization ◽  
Indication System ◽  
Criminal Protection ◽  
The Right

Resumen:El presente trabajo es un análisis de cómo ha evolucionado la protección del no nacido en España desde la aprobación de la Constitución de 1978. Se centra, en particular en el estudio de la legislación y de la jurisprudencia constitucional sobre dos temas especialmente relevantes y controvertidos: la regulación del aborto, de un lado, y de la fecundación in vitro y uso de embriones, sus tejidos y órganos, de otro. Tanto el legislador como la doctrina del Tribunal Constitucional se han inclinado por una protección gradualista de la vida humana en formación que deja abiertos muchos interrogantes desde la perspectiva del derecho a la vida (art. 15 CE) y la dignidad humana (art. 10.1 CE)Summary:1. The Introduction Of Abortion In Spain And The STC 53/1985: a) From Criminalization To Decriminalization In Certain Circumstances; b) STC 53/1985: i) Right To Life And Prenatal Life; ii) The Life Of The Unborn As A Constitutional Interest; iii) The Constitutionality Of The Indication System; iv) The Conditions For The Constitutionality Of Decriminalization; c) The New Regulation. 2. From The «Indication System» To The «System Of Deadlines»: Organic Law 2/2010 Of 3 March On Sexual And Reproductive Health And Voluntary Termination Of Pregnancy: a) The Evolution Of Abortion In Spain Under The 1985 Act;b) The Arguments For The Reform And The Context Of The New Regulation;c) The New Regulation. 3. An Open Debate: a) The Conditions For The Constitutionality Of Decriminalization; b) The Failed Reform Of The Act. 4. The Weak Protection Of The Embryo In The Legislation On In Vitro Fertilization And The Use Of Embryonic Organs And Tissues, And The SSTC 212/1996 And 116/1999: a) Act 35/1988 On Assisted Reproduction Techniques, And Act 42/1988 On Donation And Use Of Human Embryos And Fetuses And Their Cells, Tissues And Organs; b) Negation Of The Right To Life Of The Embryo And Consequences For Its Consideration As A Constitutionally Protected Legal Interest: i) The Embryo Does Not Hold The Right To Life; ii) Two New Categories:Pre-Embryos And Non-Viable Embryos And Their Legal Relevance; iii) Surplus Embryos; iv) The Absence Of Any Criminal Protection; v) A Weak Concept Of Dignity. 5. Legislative Evolution; 6. A Model For The Gradual (Dis)Protection Of Unborn Human Life.Abstract:This paper analyzes the evolution of the protection of the unborn human life in Spain since the enactment of the 1978 Constitution. It focuses, in particular, on the study of the laws and the constitutional jurisprudence on two relevant matters: the regulation of abortion; and the in vitro fertilization, the use of embryos their tissues and organs. The legislator and the decisions of the Constitutional Court have opted for gradualist protection of the embryo that leaves many questions open from the perspective of the right to life (Article 15 SC) and human dignity (Article 10.1 SC).

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