---
title: "Single-cell digital twins to link in vitro drug screens with pregnancy outcomes"
id: "pubmed-42905843"
canonical_url: "https://medichelpline.com/clinical-feed/pubmed-42905843"
content_type: "clinical_feed_article"
specialty: "Pharmacology"
source_name: "PubMed / NCBI"
source_url: "https://pubmed.ncbi.nlm.nih.gov/42905843/"
doi: "10.1126/sciadv.aen0211"
published_at: "2026-10-23T00:00:00.000Z"
evidence_level: "Journal Article"
license: "CC-BY-NC-4.0 / Informational Use"
---
# Single-cell digital twins to link in vitro drug screens with pregnancy outcomes
## Provenance & Clinical Metadata
- **Canonical URL:** https://medichelpline.com/clinical-feed/pubmed-42905843
- **Specialty:** [Pharmacology](https://medichelpline.com/clinical-feed/pharmacology.md)
- **Primary Source:** PubMed / NCBI
- **Source URL:** [Original Journal Publication](https://pubmed.ncbi.nlm.nih.gov/42905843/)
- **DOI:** [10.1126/sciadv.aen0211](https://doi.org/10.1126%2Fsciadv.aen0211)
- **Published At:** 2026-10-23T00:00:00.000Z
- **Evidence Rating:** Journal Article
## Executive GIST (TL;DR)
- The review proposes **single-cell digital twins** as a bridge between laboratory drug screens and clinical pregnancy outcomes, positioning the approach as a conceptual framework rather than a completed clinical program. - Authors reported that this model could enable evaluation of therapies and support **precision medicine** in **pregnancy**, connecting cellular-scale readouts to potential patient responses. - The paper is a Review in Sci Adv (2026); the abstract summarizes the concept but does not provide experimental protocols, dosing regimens, or validation datasets. - The source listed MeSH headings that include Female, Humans, Pregnancy, Precision Medicine/methods, and Single-Cell Analysis/methods, indicating topical scope but not specific trial designs. - The review format suggests discussion and synthesis; investigators did not report specific clinical endpoints, sample sizes, or statistical results in the PubMed abstract. - The author affiliation is Department of Aerospace and Mechanical Engineering, University of Notre Dame; the PubMed entry provides DOI and PMID metadata for citation. - Key unresolved items in the abstract: operational definitions of the digital twin, computational models used, how in vitro readouts map quantitatively to clinical outcomes, and regulatory or validation pathways — none of which were detailed in the PubMed abstract.
## Clinical Analysis & Structured Key Points
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Epub 2026 Oct 21. # Building digital pregnancies from the single cell up [Adrienne K Scott](https://pubmed.ncbi.nlm.nih.gov/?term=Scott+AK&cauthor_id=42905843)[ 1 ](https://pubmed.ncbi.nlm.nih.gov/42905843/#full-view-affiliation-1 "Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.") Affiliations Expand ### Affiliation * 1 Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA. * PMID: **42905843** * DOI: [ 10.1126/sciadv.aen0211 ](https://doi.org/10.1126/sciadv.aen0211) Item in Clipboard Review # Building digital pregnancies from the single cell up Adrienne K Scott. Sci Adv. 2026. Show details Display options Display options Format Abstract PubMed PMID Sci Adv Actions * [ Search in PubMed ](https://pubmed.ncbi.nlm.nih.gov/?term=%22Sci+Adv%22%5Bjour%5D&sort=date&sort_order=desc) * [ Search in NLM Catalog ](https://www.ncbi.nlm.nih.gov/nlmcatalog?term=%22Sci+Adv%22%5BTitle+Abbreviation%5D) * [ Add to Search ](https://pubmed.ncbi.nlm.nih.gov/42905843/) . 2026 Oct 23;12(43):eaen0211. doi: 10.1126/sciadv.aen0211. Epub 2026 Oct 21. ### Author [Adrienne K Scott](https://pubmed.ncbi.nlm.nih.gov/?term=Scott+AK&cauthor_id=42905843)[ 1 ](https://pubmed.ncbi.nlm.nih.gov/42905843/#short-view-affiliation-1 "Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.") ### Affiliation * 1 Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA. * PMID: **42905843** * DOI: [ 10.1126/sciadv.aen0211 ](https://doi.org/10.1126/sciadv.aen0211) Item in Clipboard Cite Display options Display options Format Abstract PubMed PMID Linked Discoveries ## Abstract Single-cell digital twins connect in vitro drug screening studies with clinical outcomes, providing a new framework to evaluate therapies and advance precision medicine in pregnancy. 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