Evidence map›Paper›PMID 40417176›Full record

ArticleOxford open immunology2025

AI in optimized cancer treatment: laying the groundwork for interdisciplinary progress.

Gabriel Kalweit, Evelyn Ullrich, Joschka Boedecker, Roland Mertelsmann, Maria Kalweit

Abstract read
In one paragraph

Article in Oxford open immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. AI and human expertise in cancer care - striving for synergy.Nature reviews. Clinical oncology · 2026
    Article
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

5 authors.

Gabriel KalweitCollaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Baden-Württemberg, 79110, Germany.
Evelyn UllrichCollaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Baden-Württemberg, 79110, Germany.ORCID https://orcid.org/0000-0001-8530-1192
Joschka BoedeckerCollaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Baden-Württemberg, 79110, Germany.
Roland MertelsmannCollaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Baden-Württemberg, 79110, Germany.
Maria KalweitCollaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Baden-Württemberg, 79110, Germany.ORCID https://orcid.org/0000-0003-4581-8810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular complexity of cancer presents significant challenges to traditional therapeutic approaches, necessitating the development of innovative treatment strategies capable of addressing the disease's dynamic nature and resistance mechanisms. Data-driven methodologies, particularly those employing Artificial Intelligence (AI), hold substantial promise by advancing a comprehensive understanding of the intricate molecular and cellular mechanisms underlying cancer and supporting the development of adaptive, patient-specific therapeutic strategies. Initiated through the Mertelsmann Foundation, the Collaborative Research Institute Intelligent Oncology (CRIION) in Freiburg im Breisgau, Germany, aims to drive progress in AI-driven oncology. CRIION fosters global collaboration through initiatives like the Intelligent Oncology Symposium and supports multidisciplinary projects designed to integrate AI innovations into clinical workflows.

Indexed as

AI in oncologyinterdisciplinary collaborationoptimized cancer treatment

Identifiers

PMID40417176
PMCPMC12103913

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.