Found: 10
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Thyroid hormone levels associate with exposure to polychlorinated biphenyls and polybrominated biphenyls in adults exposed as children.
- Published in:
- 2019
- By:
- Publication type:
- journal article
Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records.
- Published in:
- Frontiers in Endocrinology, 2024, p. 1, doi. 10.3389/fendo.2024.1298628
- By:
- Publication type:
- Article
Examining Reproductive Health Outcomes in Females Exposed to Polychlorinated Biphenyl and Polybrominated Biphenyl.
- Published in:
- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-60234-9
- By:
- Publication type:
- Article
The impact of cryopreserved sperm on intrauterine insemination outcomes: is frozen as good as fresh?
- Published in:
- Frontiers in Reproductive Health, 2023, v. 5, p. 1, doi. 10.3389/frph.2023.1181751
- By:
- Publication type:
- Article
Trophectoderm grade as a predictor of beta human-chorionic gonadotropin rise in early pregnancy.
- Published in:
- Journal of Assisted Reproduction & Genetics, 2024, v. 41, n. 9, p. 2311, doi. 10.1007/s10815-024-03166-x
- By:
- Publication type:
- Article
Live birth outcomes following single-step blastocyst warming technique – optimizing efficiency without impacting live birth rates.
- Published in:
- Journal of Assisted Reproduction & Genetics, 2024, v. 41, n. 5, p. 1193, doi. 10.1007/s10815-024-03069-x
- By:
- Publication type:
- Article
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status.
- Published in:
- Journal of Assisted Reproduction & Genetics, 2023, v. 40, n. 2, p. 301, doi. 10.1007/s10815-022-02707-6
- By:
- Publication type:
- Article
Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks.
- Published in:
- Journal of Assisted Reproduction & Genetics, 2023, v. 40, n. 2, p. 251, doi. 10.1007/s10815-022-02685-9
- By:
- Publication type:
- Article
Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).
- Published in:
- Journal of Assisted Reproduction & Genetics, 2023, v. 40, n. 2, p. 241, doi. 10.1007/s10815-022-02649-z
- By:
- Publication type:
- Article
Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study.
- Published in:
- Journal of Assisted Reproduction & Genetics, 2022, v. 39, n. 10, p. 2343, doi. 10.1007/s10815-022-02585-y
- By:
- Publication type:
- Article