ReviewFrontiers in endocrinology2023
Multi-omics and machine learning for the prevention and management of female reproductive health.
Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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
13 citing papers in PubMed.
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- The uterine and vaginal microbiome in assisted reproductive technologies: implications for maternal and offspring outcomes.Journal of assisted reproduction and genetics · 2026Review
- Causal association of circulating metabolites with female infertility: a bidirectional mendelian randomization analysis.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Unveiling the predictive power of biomarkers in traumatic brain injury: A narrative review focused on clinical outcomes.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2025Review
- The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries.Globalization and health · 2025Article
- The Role of Artificial Intelligence in Female Infertility Diagnosis: An Update.Journal of clinical medicine · 2025Review
- Preeclampsia prediction and diagnosis: a comprehensive historical review from clinical insights to omics perspectives.Frontiers in medicine · 2025Review
- Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research.American journal of physiology. Heart and circulatory physiology · 2024Review
- Clinical Theragnostic Signature of Extracellular Vesicles in Traumatic Brain Injury (TBI).ACS chemical neuroscience · 2023Review
- Insights into Sex and Gender Differences in Brain and Psychopathologies Using Big Data.Life (Basel, Switzerland) · 2023Review
- Multi-omics insights and therapeutic implications in polycystic ovary syndrome: a review.Functional & integrative genomics · 2023Review
- Machine learning and multi-omics data in chronic lymphocytic leukemia: the future of precision medicine?Frontiers in genetics · 2023Review
- Artificial intelligence in maternal and child health: Current applications, translational gaps, and future research priorities.Women's health (London, England)Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Females typically carry most of the burden of reproduction in mammals. In humans, this burden is exacerbated further, as the evolutionary advantage of a large and complex human brain came at a great cost of women's reproductive health. Pregnancy thus became a highly demanding phase in a woman's life cycle both physically and emotionally and therefore needs monitoring to assure an optimal outcome. Moreover, an increasing societal trend towards reproductive complications partly due to the increasing maternal age and global obesity pandemic demands closer monitoring of female reproductive health. This review first provides an overview of female reproductive biology and further explores utilization of large-scale data analysis and -omics techniques (genomics, transcriptomics, proteomics, and metabolomics) towards diagnosis, prognosis, and management of female reproductive disorders. In addition, we explore machine learning approaches for predictive models towards prevention and management. Furthermore, mobile apps and wearable devices provide a promise of continuous monitoring of health. These complementary technologies can be combined towards monitoring female (fertility-related) health and detection of any early complications to provide intervention solutions. In summary, technological advances (e.g., omics and wearables) have shown a promise towards diagnosis, prognosis, and management of female reproductive disorders. Systematic integration of these technologies is needed urgently in female reproductive healthcare to be further implemented in the national healthcare systems for societal benefit.
Indexed as
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What Socratic holds
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 Socratic graph.