In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.
2 · The registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
31 authors.
Jakob EinhausDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3450-4325 Peter NeidlingerDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0009-0006-9416-1498 Olivier FondeurDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0009-0002-8712-4606 Masaki SatoDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-6724-7786 Sasha AnronikovDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-7854-1809 Kotaro MiyazakiDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0009-0009-8440-5227 Antoine MaechlerDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jonas N AmarDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Kazuo AndoDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1778-1344 Valentin BadeaDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0009-0001-3943-4637 Dyani K GaudilliereDepartment of Surgery, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-3017-5939 Maximilian SabayevDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0009-0009-6673-1651 Dorien FeyaertsDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-0795-6625 Maïgane DiopDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-2580-8084 Amy S TsaiDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-2380-6424 Amelie CambrielDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8402-8363 Edward A GanioDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-1088-0377 Romain LagardeDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0009-0008-7948-6774 Emmeline O'KellyDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Ina A StelzerDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-9974-4661 Julien HedouDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-4721-4797 Ronald J WongDepartment of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1205-6936 Yair J BlumenfeldDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
Deirdre J LyellDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
Gary M ShawDepartment of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-7438-4914 Tomiko T OskotskyDivision of Clinical Informatics and Digital Transformation, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7393-5120 Marina SirotaBakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7246-6083 Linda C GiudiceCenter for Reproductive Sciences, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, CA, USA.ORCID 0000-0002-1677-0822 David K StevensonDepartment of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nima AghaeepourDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-6117-8764 Brice GaudilliereDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3475-5706 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Digital twin models can accelerate therapeutic development by enabling low-risk testing of candidate interventions. In preterm labor (PTL), a major pregnancy complication where clinical trials face ethical and financial barriers, digital twins are especially valuable for evaluating new therapies targeting immune dysfunctions driving PTL. Yet, current models lack single-cell resolution, limiting detection of cell type-specific mechanisms, off-target effects, and the design of personalized interventions. We present Simulated Immunome Modeling of Clinical Outcomes (SIMCO), a single-cell-level digital twin framework that models immunomodulatory treatment effects on the timing of labor using immunome-wide, single-cell simulations. SIMCO's digital twins are trained and validated on a newly generated mass cytometry atlas of the pregnant immunome exposed to nine candidate drugs preselected for PTL prevention. Applying SIMCO to an independent cohort of pregnant individuals, we simulate treatment effects on gestational length, screening for candidate drugs that delay labor timing and providing system-level mechanistic insight for each drug candidate. Tetrahydrofolate and the combination of aspirin and lansoprazole emerged as top candidates for PTL prevention, delaying labor onset primarily through enhanced mTOR signaling in innate immune cells and attenuated JAK/STAT signaling in naïve CD4
Indexed as
Premature BirthSingle-Cell AnalysisAspirinFemaleHumansObstetric Labor, PrematurePregnancyTwinsAspirin
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