Multimodal Survival Analysis

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Overview

Multimodal survival analysis predicts outcomes such as cancer recurrence or death by combining time-to-event data with sources such as pathology slides, radiology, genomics, and clinical records. Common approaches encode each data type separately, then fuse representations with attention, contrastive alignment, prototypes, gating, or mixtures of experts; models often use Cox or discrete-time survival objectives. The goal is to capture complementary prognostic signals while supporting interpretation and handling missing or unevenly available modalities. A central challenge is showing that fusion improves reliable, calibrated predictions on independent clinical cohorts, since added modalities do not always help and strong risk rankings can still yield inaccurate survival probabilities.

Latest papers

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47 papers4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

  1. When Slides Met Scans: Cross-Attention for Renal Cancer Prognosis

    Oct 26, 2026Anusha Krishnamoorthy, Basudha PalCancer Survival PredictionMultimodal Survival Analysis

    Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University · Department of Electrical & Computer Engineering, Johns Hopkins University

  2. HGASurv: Hierarchical Granularity-Aware Multimodal Integration for Survival Prediction

    Oct 19, 2026Peike Yu, Wuchao Liu, Jihong Guan +1Multimodal Survival AnalysisCancer Survival Prediction

    School of Computer Science and Technology, Tongji University, 1239 Siping Road, Shanghai 200092, China · College of Computer Science and Artificial Intelligence, Fudan University, 2005 Songhu Road, Shanghai 200438, China

  3. Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data

    Oct 10, 2026Rita Cordeiro Mendes, Maria Manuel Pereira, Carlos Santiago +1Learning with Missing DataMultimodal Fusion

    Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal · ULS, Braga, Portugal

  4. Anchor-driven Multi-modal Multi-scale Expert Selection for Survival Prediction

    Oct 6, 2026Tao Zhou, Ying Hu, Huazhu Fu +3Cancer Survival PredictionMixture of Experts

    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China · Institute of Advanced Intelligence and Computing (IAIC), Agency for Science, Technology and Research (A*STAR), Singapore 138632 · School of Computer Science and Engineering, Southeast University, Nanjing 211189, China +2

  5. Multimodal Deep Survival Analysis for Sinkhole Susceptibility

    Oct 5, 2026Lucas Yuan, Minhee Kim, Zihan Li +4Survival AnalysisMultimodal Survival Analysis

    Huron High School University of Florida Ann Arbor, MI, USA · Industrial and Systems Engineering University of Florida Gainesville, FL, USA · Forest, Fisheries, and Geomatics Sciences University of Florida Gainesville, FL, USA +1

  6. A Multimodal Dataset for Survival Prediction in Resected Pancreatic Ductal Adenocarcinoma

    Sep 24, 2026Anh-Tien Nguyen, Mawuko Tettey, Jacqueline Michelle Metsch +14Cancer Survival PredictionOncology

    Institute for Predictive Deep Learning for Medicine and Healthcare, Giessen University, Germany · Department of Medical Informatics, University Medical Center Göttingen, Germany · Institute of Pathology, University Medical Center Göttingen, Germany +2

  7. An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction

    Sep 19, 2026Mushahid IntesumCancer Survival PredictionMultimodal Survival Analysis

  8. MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention

    Sep 18, 2026Muhammet Sami Yavuz, Sabri Mustafa Kahya, Richard R. Chen +2Cancer Survival PredictionMultimodal Survival Analysis

    AI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Technical University of Munich (TUM), Munich, Germany +2

  9. Multi-Modal Tumor Survival Prediction via Graph-Guided Mixture of Experts

    Sep 12, 2026H Mathavan, H LiuCancer Survival PredictionMultimodal Survival Analysis

    ARIZONA STATE UNIVERSITY

  10. Causal multi-modal AI for personalized chemosensitivity prediction

    Sep 11, 2026Dhruva Biswas, Jeroen Berrevoets, Alec McClean +31Cancer Drug Response PredictionClinical Prediction

    Ataraxis AI, New York, NY, USA. · Centre for Inflammation Biology and Cancer Immunology, King’s College London, London, UK. · Department of Medical Oncology, Guy’s Hospital, London, UK. +20

  11. CHIMERA Challenge Task 2 and 3: Response Subtypes Classification and Progression Survival Prediction in Bladder Cancer Patients using Multimodal Datasets

    Sep 8, 2026Catherine Chia, Tongjie Wang, Robert Spaans +12Multimodal RobustnessCancer Survival Prediction

  12. Real-World Multi-Modal and Longitudinal Lung Cancer Dataset

    Sep 4, 2026Rita Cordeiro Mendes, Maria Rita Fonseca Verdelho, Carlos Santiago +1Multimodal Survival AnalysisMultimodal Fusion

    Institute for Systems and Robotics, Instituto Superior Técnico, Portugal

  13. CHIMERA Challenge: Biochemical Recurrence Prediction in Prostate Cancer Patients using multimodal datasets

    Aug 21, 2026Robert N. Spaans, Catherine Chia, Tongjie Wang +7Clinical Outcome PredictionMedical Image Benchmarks

    Radboud University Medical Center, Department of Pathology, Research Institute for Medical Innovation, Nijmegen, The Netherlands · Canisius Wilhelmina Hospital, Department of Urology, Nijmegen, The Netherlands · Oncode Institute, Utrecht, The Netherlands +6

  14. MultiSigBERT: Beyond Survival Analysis through Multimodal and Sequential Modeling in Oncology

    Aug 17, 2026Paul Minchella, Stéphane Chrétien, Guillaume Metzler +2Multimodal Survival AnalysisCancer Survival Prediction

    Université Lumière Lyon 2, 69500 Bron, France · Léon Bérard Center, Lyon 69008, France · EPITA, Lyon 69007, France

  15. CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment

    Aug 4, 2026Jing Dai, Qibin Zhang, Weiwei Zhou +4Cancer Survival PredictionSurvival Analysis

    Cancer Hospital of Dalian University of Technology, Shenyang, China · School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China · Institute of Pathology, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany +2

  16. Structured Proxy Features for Multimodal NSCLC Survival Prediction from Pretreatment CT

    Aug 1, 2026Huu Phong Nguyen, Delower Hossain, Ehsan Saghapour +2Cancer Survival PredictionOncology

    Department of Biomedical Informatics and Data Science, School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, AL, United States. · Department of Computer Science, The University of Alabama at Birmingham (UAB), Birmingham, AL, United States. · System Pharmacology and AI Research Center (SPARC), The University of Alabama at Birmingham (UAB), Birmingham, AL, United States.

  17. SAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

    Jul 10, 2026Chongyu Qu, Can Cui, Zhengyi Lu +8Cancer Survival PredictionClinical Decision Support

    Vanderbilt University, Nashville TN 37235, USA · Vanderbilt University Medical Center, Nashville TN, 37232 USA

  18. CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction

    Jul 9, 2026Sofie Allgöwer, Mikael Johansson, Andreas Hallqvist +4Medical Imaging Foundation ModelsRadiology VLMs

    Chalmers University of Technology, Gothenburg, Sweden · Umeå University, Umeå, Sweden · Sahlgrenska University Hospital, Gothenburg, Sweden +1

  19. Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities

    Jun 18, 2026Yucheng Xing, Hailan Mo, Zi Wang +2Missing-Modality LearningUncertainty Quantification

    National University of Singapore, Singapore · Imperial College London, London, UK

  20. ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis

    Jun 17, 2026Hugo Miccinilli, Theo Di PiazzaCancer Survival PredictionHeterogeneous GNNs

    Université Paris-Saclay, CentraleSupélec, MICS, France · University of Lyon, INSA Lyon, CREATIS, France

  21. Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling

    Jun 13, 2026Zhemin Zhang, Weijie Chen, David Le +7Event Time PredictionMultimodal Robustness

    Arizona State University · Mayo Clinic

  22. Trimodal Glioma Representation Alignment via Volumetric Contrastive Learning

    Jun 12, 2026Denise Marini, Eleonora Grassucci, Danilo ComminielloCancer Survival PredictionCross-Modal Alignment

    Dept. of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Italy

  23. GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer

    Jun 8, 2026Dasari Naga RajuAdversarial Representation LearningCancer Survival Prediction

  24. Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis

    Jun 5, 2026Sanket Kachole, Siddhesh Thakur, Shubham Innani +4Missing-Modality LearningCancer Survival Prediction

    Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA · IU Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA · Departments of Biostatistics and Health Data Science; Radiology and Imaging Sciences; Neurological Surgery; Indiana University School of Medicine, Indianapolis, IN, USA +1

  25. BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

    May 25, 2026Junlin Yang, Tian Yu, Nicha C. Dvornek +6Radiology VLMsCancer Survival Prediction

    Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, 06510, USA · Department of Biomedical Engineering, Yale University, New Haven, CT, 06510, USA · Department of Electrical Engineering, Yale University, New Haven, CT, 06510, USA +1

  26. Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy

    May 24, 2026Mohamed Boussena, Florence Monville, Jacques Fieschi-Meric +8Missing-Modality LearningCancer Survival Prediction

    Inria – Inserm team COMPO, COMPutational pharmacology and clinical Oncology, Centre Inria Sophia Antipolis - M´editerran´ee, Centre de Recherches en Canc´erologie de Marseille, Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Pharmacy faculty, Aix-Marseille University · Veracyte SAS, Marseille, France · Assistance Publique-Hˆopitaux de Marseille (APHM), Marseille, France +4

  27. ProtoPathway: Biologically Structured Prototype-Pathway Fusion for Multimodal Cancer Survival Prediction

    May 20, 2026Amaya Gallagher-Syed, Costantino Pitzalis, Myles J. Lewis +2Cancer Survival PredictionOncology

    Queen Mary University of London

  28. HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction

    May 20, 2026Huayi Wang, Haochao Ying, Yuyang Xu +5Cancer Survival PredictionSurvival Analysis

    Zhejiang University Hangzhou, China · Xinjiang University Urumqi, China · Hangzhou City University Hangzhou, China +1

  29. Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion

    May 12, 2026Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko VetaRepresentation LearningCancer Survival Prediction

    Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

  30. Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning

    Apr 20, 2026Xixi Liu, Jorge Lazo, Andreas Hallqvist +8Clinical Outcome PredictionMedical VLMs

    Chalmers University of Technology, Gothenburg, Sweden