Evidence map›Paper›PMID 39122940›Full record

ArticleNature methods2024

A thousand and one tumors: the promise of AI for cancer biology.

Joy Linyue Fan, Achille Nazaret, Elham Azizi

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. A tale of tumors.Nature methods · 2025
    Article
  8. Review
  9. 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

3 authors.

Joy Linyue Fan *Department of Biomedical Engineering, Columbia University, New York, NY, USA.
Achille Nazaret *Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.
Elham AziziDepartment of Biomedical Engineering, Columbia University, New York, NY, USA. ea2690@columbia.edu.ORCID http://orcid.org/0000-0001-5059-6971

Funding

Machine learning methods for interpreting spatial multi-omics dataR01HG012875 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Elham Azizi · 2023 to 2026
$1.7M
Integrative framework for identifying dysregulated mechanisms in the tumor-immune microenvironmentR00CA230195 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI AZIZI, ELHAM · 2020 to 2022
$652k
Computational toolbox for spatial transcriptomic analysis of complex tissuesR21HG012639 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI AZIZI, ELHAM · 2023 to 2023
$435k
Broad Institute Eric ; Wendy Schmidt Center Ph.D. FellowshipColumbia University Avanessians Doctoral FellowshipColumbia University Van C. Mow PhD FellowshipNCI NIH HHS R00 CA230195NHGRI NIH HHS R01 HG012875NHGRI NIH HHS R21 HG012639NSF | ENG/OAD | Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) 2144542U.S. Department of Health ; Human Services | NIH | National Cancer Institute (NCI) R00CA230195U.S. Department of Health ; Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG012875
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceNeoplasmsComputational BiologyHumans

Identifiers

PMID39122940
PMCPMC12820899

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.