Evidence map›Paper›PMID 42557331›Full record

ArticleNature2026

The Virtual Tissues foundation model resolves spatial proteomics across scales.

Johann Wenckstern, Eeshaan Jain, Benedikt von Querfurth, Yexiang Cheng, Kiril Vasilev, Matteo Pariset, Phil F Cheng, Petros Liakopoulos, Olivier Michielin, Andreas Wicki and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature, 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Johann Wenckstern *School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.
Eeshaan Jain *School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.
Benedikt von Querfurth *School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.
Yexiang Cheng *School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.ORCID http://orcid.org/0009-0005-2407-6653
Kiril VasilevDepartment of Computer Science, ETH, Zurich, Switzerland.
Matteo ParisetDepartment of Computer Science, ETH, Zurich, Switzerland.
Phil F ChengFaculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0003-2940-006X
Petros LiakopoulosFaculty of Medicine, University of Geneva, Geneva, Switzerland.
Olivier MichielinFaculty of Medicine, University of Geneva, Geneva, Switzerland.
Andreas WickiDepartment of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-2924-8080
Gabriele GutDepartment of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-8991-0040
Charlotte BunneSchool of Computer and Communication Sciences, EPFL, Lausanne, Switzerland. charlotte.bunne@epfl.ch.ORCID http://orcid.org/0000-0003-1431-103X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial proteomics technologies have transformed our understanding of complex tissue architecture in cancer but present unique challenges for computational analysis

Indexed as

ProteomicsBiomarkers, TumorDisease-Free SurvivalFemaleHumansTriple Negative Breast NeoplasmsBiomarkers, Tumor

Identifiers

PMID42557331
PMCPMC13581600

What OpenQuestion holds

Textmetadata
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.