ArticleFrontiers in lab on a chip technologies2024
Reproductive organ on-a-chip technologies and assessments of the fetal-maternal interface.
Article in Frontiers in lab on a chip technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Artificial Intelligence-Driven Reproductive Bioengineering: Integrating Fertility Diagnostics, Organ-on-Chip Systems, Cryobiology and Epigenetic Safety for Precision Reproductive Medicine.Bioengineering (Basel, Switzerland) · 2026Review
- PBPK Models for Fetal Drug Exposure: A Critical Assessment of Current Approaches and Regulatory Readiness.Journal of clinical pharmacology · 2026Review
- Electron Microscopy Provides Quantitative Insights into Modified Magnetic Bead Layers for Electrochemical Immunoassays.Bioconjugate chemistry · 2026Article
- AI-driven text mining of the female reproductive system: enabling multiscale biomedical modeling and personalized medicine.Nano convergence · 2026Review
- Female Reproductive Tract Organ-on-Chips: Modeling Barrier Function and Drug Transport.Pharmaceutics · 2026Review
- Magnetic bead electrochemical sandwich assay (MBESA) for the inflammatory cytokine interleukin-1β in fetal membrane on-a-chip studies and placental macrophages.Sensors and actuators. B, Chemical · 2026Article
- Neuroplacentology of stress: Novel frontiers linking maternal mental health to offspring neurodevelopment.Neurobiology of stress · 2026Review
- Beyond traditional models: microfluidic technologies for engineering the human placentaFrontiers in bioengineering and biotechnology · 2026Review
- Towards cervical AI of sheep with stored semen: latest insights and future developments.The Journal of reproduction and development · 2026Review
- Organ-on-a-Chip Models of the Female Reproductive System: Current Progress and Future Perspectives.Micromachines · 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
4 authors.
Funding
Abstract
In this review, we discuss recent reproductive organ-on-a-chip (OoC) experiments that encompass multiple target areas of investigation, including model fabrication strategies, transport mechanisms, and immunology. We highlight fetal membrane and placental biology, OoC history and background, and the designs of reproductive OoC platforms. Reproductive OoC designs include fetal membrane models such as the Fetal Membrane-on-a-chip (FMOC) and others, placental models such as the placenta on-a-chip, and full reproductive tract models such as EVATAR. Diverse fabrication strategies and the integration of multiple model materials are explored. OoC samples can be analyzed with many analytical techniques, including mass spectrometry, fluorescence microscopy, ELISAs, impedance spectroscopy, and electrochemical techniques. The future of reproductive OoC models is a promising technology for advancing preterm birth (PTB) research, pharmacology studies, and fertility technologies.
Indexed as
Identifiers
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.