Evidence map›Paper›PMID 37100540›Full record

ArticleThe Lancet. Digital health2023

Augmenting digital twins with federated learning in medicine.

Divya Nagaraj, Priya Khandelwal, Sandra Steyaert, Olivier Gevaert

Abstract read
In one paragraph

Article in The Lancet. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Intelligent Digital Twins for Personalized Migraine Care.Journal of personalized medicine · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Divya NagarajDepartment of Computer Science, Stanford University, CA 94305, USA.
Priya KhandelwalDepartment of Computer Science, Stanford University, CA 94305, USA.
Sandra SteyaertStanford Center for Biomedical Informatics Research, Stanford University, CA 94305, USA.
Olivier GevaertStanford Center for Biomedical Informatics Research, Stanford University, CA 94305, USA. Electronic address: ogevaert@stanford.edu.

Funding

Multi-scale modeling of glioma for the prediction of treatment response, treatment monitoring and treatment allocationR01CA260271 · NCI · STANFORD UNIVERSITY · PI GEVAERT, OLIVIER · 2021 to 2025
$3.1M
NCI NIH HHS R01 CA260271
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Machine LearningMedicine

Identifiers

PMID37100540
PMCPMC10507798

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.