Evidence map›Paper›PMID 42775383›Full record

ArticleProceedings of machine learning research2026

AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning.

Chongyu Qu, Zhengyi Lu, Yuxiang Lai, Thomas Z Li, Junchao Zhu, Junlin Guo, Juming Xiong, Yanfan Zhu, Yuechen Yang, Allen J Luna and 3 more

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Proceedings of machine learning research, 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

13 authors.

Chongyu QuVanderbilt University, Nashville, TN, USA, 37215.
Zhengyi LuVanderbilt University, Nashville, TN, USA, 37215.
Yuxiang LaiEmory University Atlanta, GA, USA, 30322.
Thomas Z LiVanderbilt University, Nashville, TN, USA, 37215.
Junchao ZhuVanderbilt University, Nashville, TN, USA, 37215.
Junlin GuoVanderbilt University, Nashville, TN, USA, 37215.
Juming XiongVanderbilt University, Nashville, TN, USA, 37215.
Yanfan ZhuVanderbilt University, Nashville, TN, USA, 37215.
Yuechen YangVanderbilt University, Nashville, TN, USA, 37215.
Allen J LunaVanderbilt University, Nashville, TN, USA, 37215.
Kim L SandlerVanderbilt University Medical Center, Nashville, TN, USA, 37232.
Bennett A LandmanVanderbilt University, Nashville, TN, USA, 37215.
Yuankai HuoVanderbilt University, Nashville, TN, USA, 37215.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Validation of Biomarkers of Risk for the Early Detection of Lung CancerU01CA152662 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DEPPEN, STEPHEN, GROGAN, ERIC L · 2010 to 2025
$12.8M
Cellular, molecular and quantitative imaging analysis of screening-detected lung adenocarcinomaU01CA196405 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALDONADO, FABIEN · 2015 to 2020
$5.4M
Novel Integrative Approach for the Early Detection of Lung Cancer using Repeated MeasuresR01CA253923 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LANDMAN, BENNETT A., MALDONADO, FABIEN · 2021 to 2025
$3.4M
Integrating imaging and biopsy-derived molecular markers for the pre-surgical detection of indolent and aggressive early stage lung adenocarcinomaR01CA275015 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Marc Elliott Lenburg, Fabien Maldonado · 2023 to 2026
$2.6M
Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big dataF30CA275020 · NCI · VANDERBILT UNIVERSITY · PI LI, THOMAS ZHIHE · 2023 to 2025
$141k
NCATS NIH HHS UL1 TR002243NCI NIH HHS F30 CA275020NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA253923NCI NIH HHS R01 CA275015NCI NIH HHS U01 CA152662NCI NIH HHS U01 CA196405NIBIB NIH HHS T32 EB021937
6 · The paper itself

Abstract

Multimodal fusion has emerged as a promising paradigm for disease diagnosis and prognosis, integrating complementary information from heterogeneous data sources such as medical images, clinical records, and radiology reports. However, existing fusion methods process all available modalities through the network, either treating them equally or learning to assign different contribution weights, leaving a fundamental question unaddressed:

Indexed as

Multimodal FusionReinforcement LearningRisk Prediction

Identifiers

PMID42775383
PMCPMC13597164

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.