Evidence map›Paper›PMID 39678362›Full record

ArticleComputational and structural biotechnology journal2024

Deep learning algorithm on H&E whole slide images to characterize

Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina and 4 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 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. Article
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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

14 authors.

Chiara FrascarelliDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Konstantinos VenetisDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Antonio MarraDivision of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy.
Eltjona ManeDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Mariia IvanovaDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Giulia CursanoDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Francesca Maria PortaDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Alberto ConcardiDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Arnaud Gerard Michel CeolDepartment of Information and Communications Technology, European Institute of Oncology IRCCS, Milan, Italy.
Annarosa FarinaDepartment of Information and Communications Technology, European Institute of Oncology IRCCS, Milan, Italy.
Carmen CriscitielloDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Giuseppe CuriglianoDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Elena Guerini-RoccoDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
Nicola FuscoDivision of Pathology, European Institute of Oncology IRCCS, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor

Indexed as

Artificial intelligenceBreast cancerDeep learningTP53

Identifiers

PMID39678362
PMCPMC11638532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.