ArticleDiagnostics (Basel, Switzerland)2021
Omics and Artificial Intelligence to Improve In Vitro Fertilization (IVF) Success: A Proposed Protocol.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Review
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Non-invasive biomarkers in assisted reproduction: a comprehensive review for predicting IVF success.Journal of assisted reproduction and genetics · 2026Review
- Development of a Novel Nomogram Based on Ultrasonic Radiomics for Predicting Intrauterine Pregnancy After Frozen Embryo Transfer Cycle.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025Article
- Embryo-secreted microRNAs enable non-invasive assessment of chromosomal status and viability inFrontiers in cell and developmental biology · 2025Review
- Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities.Diagnostics (Basel, Switzerland) · 2024Review
- Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication.Frontiers in artificial intelligence · 2024Article
- In Contemporary Reproductive Medicine Human Beings are Not Yet Dispensable.Journal of obstetrics and gynaecology of India · 2023Article
- Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- A Comprehensive Review of the Role of Artificial Intelligence in Obstetrics and Gynecology.Cureus · 2023Review
- Human Blastocyst Components Detection Using Multiscale Aggregation Semantic Segmentation Network for Embryonic Analysis.Biomedicines · 2022Article
- Omics in Clinical Practice: How Far Are We?Diagnostics (Basel, Switzerland) · 2022Article
- Accurate Quantitative Histomorphometric-Mathematical Image Analysis Methodology of Rodent Testicular Tissue and Its Possible Future Research Perspectives in Andrology and Reproductive Medicine.Life (Basel, Switzerland) · 2022Article
- Empty Zona Pellucida Only Case: A Critical Review of the Literature.International journal of environmental research and public health · 2021Review
- Why Has Metabolomics So Far Not Managed to Efficiently Contribute to the Improvement of Assisted Reproduction Outcomes? The Answer through a Review of the Best Available Current Evidence.Diagnostics (Basel, Switzerland) · 2021Article
- Development and Validation of a Combined Model Integrating Early Pregnancy Ultrasound Radiomics and Clinical Features to Predict Live Birth Following Single Vitrified-Warmed Blastocyst Transfer.Reproductive medicine and biologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prediction of in vitro fertilization (IVF) outcome is an imperative achievement in assisted reproduction, substantially aiding infertile couples, health systems and communities. To date, the assessment of infertile couples depends on medical/reproductive history, biochemical indications and investigations of the reproductive tract, along with data obtained from previous IVF cycles, if any. Our project aims to develop a novel tool, integrating omics and artificial intelligence, to propose optimal treatment options and enhance treatment success rates. For this purpose, we will proceed with the following: (1) recording subfertile couples' lifestyle and demographic parameters and previous IVF cycle characteristics; (2) measurement and evaluation of metabolomics, transcriptomics and biomarkers, and deep machine learning assessment of the oocyte, sperm and embryo; (3) creation of artificial neural network models to increase objectivity and accuracy in comparison to traditional techniques for the improvement of the success rates of IVF cycles following an IVF failure. Therefore, "omics" data are a valuable parameter for embryo selection optimization and promoting personalized IVF treatment. "Omics" combined with predictive models will substantially promote health management individualization; contribute to the successful treatment of infertile couples, particularly those with unexplained infertility or repeated implantation failures; and reduce multiple gestation rates.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.