Cancer Survival Prediction

Overview

Cancer survival prediction estimates outcomes such as overall survival, recurrence, and treatment response while accounting for censored follow-up, where the event time is unknown for some patients. Methods range from Cox models and random survival forests to deep learning on pathology slides, radiology, clinical records, and genomic or other molecular data; multimodal models use attention, graphs, prototypes, or mixture-of-experts to combine these sources. Much work evaluates risk ranking on TCGA cohorts and clinical benchmarks, while handling missing modalities, learning interpretable features, and testing generalization across institutions remain central challenges. Strong concordance does not ensure accurate survival probabilities, so calibration, external validation, fairness, and robustness to data shifts also matter for clinical use.

Latest papers

CardsList

93 papers8 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

  1. Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction

    Apr 27, 2026Fredrik K. Gustafsson, Constance Boissin, Johan Vallon-Christersson +2Cancer Survival PredictionSurvival Analysis

  2. PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction

    Apr 27, 2026Di Wang, Chupei Tang, Junxiao Kong +3Survival AnalysisGraph Neural Networks

  3. Graph Transformer-Based Pathway Embedding for Cancer Prognosis

    Apr 17, 2026Koushik Howlader, Md Tauhidul Islam, Wei LeCancer GenomicsCancer Survival Prediction

  4. Ranking XAI Methods for Head and Neck Cancer Outcome Prediction

    Apr 17, 2026Baoqiang Ma, Djennifer K. Madzia-Madzou, Rosa C. J. Kraaijveld +1Gradient-Based AttributionCancer Survival Prediction

  5. AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

    Apr 10, 2026Gautier Hénique, William Le, Gabriel Dayan +8Clinical Outcome PredictionCancer Survival Prediction

  6. Time-driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer

    Apr 8, 2026Sambit Tarai, Ashish Chauhan, Elin Lundström +5Cancer Survival PredictionSurvival Analysis

  7. MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction

    Apr 7, 2026Hikmat Khan, Usama Sajjad, Metin N. Gurcan +4Cancer Survival PredictionComputational Pathology

  8. MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE

    Apr 7, 2026Zixuan Chen, Heng Zhang, YuPeng Qin +5Latent-Space RegularizationCancer Survival Prediction

  9. PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities

    Apr 5, 2026Kai Yu, Shuang Zhou, Yiran Song +9Multimodal PretrainingMissing-Modality Learning

  10. Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration

    Mar 31, 2026Iain Swift, JingHua Ye, Ruairi O'ReillyMultimodal FusionMultimodal Survival Analysis

  11. Genetic algorithms for multi-omic feature selection: a comparative study in cancer survival analysis

    Mar 31, 2026Luca Cattelani, Vittorio FortinoFeature SelectionGenetic Algorithms

  12. Interpretable Multiple Myeloma Prognosis with Observational Medical Outcomes Partnership Data

    Mar 20, 2026Salma Rachidi, Aso Bozorgpanah, Eric Fey +1Interpretable MLCancer Survival Prediction

  13. HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction

    Mar 17, 2026Jing Dai, Chen Wu, Ming Wu +4Cancer Survival PredictionMultimodal Survival Analysis

  14. Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer

    Mar 15, 2026Clément Grisi, Khrystyna Faryna, Nefise Uysal +11Clinical Risk PredictionOncology

  15. Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective

    Mar 14, 2026Junjie Zhou, Bao Xue, Meiling Wang +2Cancer Survival PredictionMultimodal Survival Analysis

  16. Leveraging Large Language Models and Survival Analysis for Early Prediction of Chemotherapy Outcomes

    Mar 12, 2026Muhammad Faisal Shahid, Asad Afzal, Abdullah Faiz +5Clinical Outcome PredictionCancer Survival Prediction

  17. Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis

    Mar 11, 2026Pei Liu, Xiangxiang Zeng, Tengfei Ma +3Whole-Slide Image AnalysisCancer Survival Prediction

  18. An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRI

    Mar 10, 2026Muhammad Alberb, Jianan Chen, Hossam El-rewaidy +5Cancer Survival PredictionRadiomics

  19. Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction

    Mar 2, 2026Aniek Eijpe, Soufyan Lakbir, Melis Erdal Cesur +4Cancer Survival PredictionMultimodal Survival Analysis

  20. Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis

    Feb 26, 2026Bin Xu, Yufei Zhou, Boling Song +6Hierarchical GNNsCancer Survival Prediction

  21. Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction

    Feb 25, 2026Toktam KhatibiCancer Survival PredictionMultimodal Survival Analysis

  22. Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction

    Feb 23, 2026Ha-Anh Hoang Nguyen, Tri-Duc Phan Le, Duc-Hoang Pham +4Counterfactual PredictionCancer Survival Prediction

  23. A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities

    Feb 19, 2026Michele Zanitti, Vanja Miskovic, Francesco Trovò +5Cancer Survival PredictionMultimodal Survival Analysis

  24. Together, Then Apart: Balancing Alignment and Distinctiveness for Multimodal Survival Analysis

    Nov 22, 2025Wenjing Liu, Qin Ren, Wen Zhang +2Cancer Survival PredictionSurvival Analysis