ReviewPediatric research2023
Multiomics, artificial intelligence, and precision medicine in perinatology.
Review in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Human milk composition and infant anthropometrics: overview of a systematic review with clinical and research implications.International breastfeeding journal · 2024Pooled it
- Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia.American journal of physiology. Lung cellular and molecular physiology · 2023Trial
- Rapid glycomic analysis of serum EVs reveals altered N-glycosylation patterns in ASD.Analytical and bioanalytical chemistry · 2026Article
- From oxidative stress to epigenetic regulation: Molecular mechanisms of preterm brain injury and neuroprotective strategies (Review).Molecular medicine reports · 2026Review
- Current Evidence, Controversies, and the Future of Biotics in the Prevention of Necrotizing Enterocolitis: A Narrative Review.Children (Basel, Switzerland) · 2026Review
- Integrating omics and artificial intelligence in pediatric environmental health: tools, challenges, and cohort-based insights.Pediatric research · 2026Review
- Artificial intelligence-driven multi-omics integration for plant enhancement: advances, challenges, and future perspectives.Functional & integrative genomics · 2026Review
- Current State and Future of Artificial Intelligence in Pediatric Interventional Radiology: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- The Gut-Brain-Immune Axis: Multi-Omics Insights into Neurodegenerative and Metabolic Diseases.Cells · 2026Review
- Protocol for the external validation of machine learning models for risk prediction in early-onset preeclampsia: a multicenter prospective cohort study.BMC pregnancy and childbirth · 2026Article
- Multi-omics insights into immunometabolic dysregulation in neonatal sepsis for precision medicine.Molecular biology reports · 2026Review
- Metabolic subtypes and biomarkers in preterm and term neonates via targeted screening.Scientific reports · 2026Article
- Ethical, legal, and social issues of AI use in emergency healthcare: a scoping review.BMC medical informatics and decision making · 2026Article
- Cross-Generational Integration of Exercise and Nutritional Encoding in Offspring Adipose Genomics.International journal of molecular sciences · 2026Review
- ChatGPT in precision medicine.APL bioengineering · 2026Review
- Recent Advances in AI and GenAI for Health Informatics.Healthcare (Basel, Switzerland) · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Autophagy in Rheumatoid Arthritis: Molecular Mechanisms, Diagnostic Biomarkers, and Emerging Therapeutic Strategies.Inflammation · 2026Review
- Optimising enteral feeding prevents postnatal growth faltering in preterm infants: a retrospective cohort study.BMJ nutrition, prevention & health · 2026Article
- Molecular life sciences in the era of the Fourth Industrial Revolution: sequencing, multi-omics and artificial intelligence.Emerging topics in life sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Technological advances in omics evaluation, bioinformatics, and artificial intelligence have made us rethink ways to improve patient outcomes. Collective quantification and characterization of biological data including genomics, epigenomics, metabolomics, and proteomics is now feasible at low cost with rapid turnover. Significant advances in the integration methods of these multiomics data sets by machine learning promise us a holistic view of disease pathogenesis and yield biomarkers for disease diagnosis and prognosis. Using machine learning tools and algorithms, it is possible to integrate multiomics data with clinical information to develop predictive models that identify risk before the condition is clinically apparent, thus facilitating early interventions to improve the health trajectories of the patients. In this review, we intend to update the readers on the recent developments related to the use of artificial intelligence in integrating multiomic and clinical data sets in the field of perinatology, focusing on neonatal intensive care and the opportunities for precision medicine. We intend to briefly discuss the potential negative societal and ethical consequences of using artificial intelligence in healthcare. We are poised for a new era in medicine where computational analysis of biological and clinical data sets will make precision medicine a reality. IMPACT: Biotechnological advances have made multiomic evaluations feasible and integration of multiomics data may provide a holistic view of disease pathophysiology. Artificial Intelligence and machine learning tools are being increasingly used in healthcare for diagnosis, prognostication, and outcome predictions. Leveraging artificial intelligence and machine learning tools for integration of multiomics and clinical data will pave the way for precision medicine in perinatology.
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What OpenQuestion 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 OpenQuestion graph.