Disease Progression Modeling

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24 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Graph-Enhanced Disease Trajectory Discovery and Temporal Endpoint Forecasting from Longitudinal Electronic Health Records

    Oct 14, 2026Jin-Jia Zheng, Vincent S. TsengDisease Progression ModelingLongitudinal EHR Modeling

    Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan

  2. LifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories

    Oct 4, 2026Jin Jiang, Sean Yates, Jasper Chong +4Clinical PredictionDigital Twins

    Peking University · VITA-Med Group

  3. Reverse Spatio-Temporal Disease Progression Modelling

    Sep 13, 2026Ulugbek Shernazarov, Moucheng Xu, Inomjon RamatovDisease Progression ModelingLongitudinal Medical Image Analysis

    T´el´ecom SudParis, Institut Polytechnique de Paris, France · University College London, UK · Digital Technologies and Artificial Intelligence Development Research Institute (AIRI), Uzbekistan

  4. Self-supervised Pre-training Helps Retinal Disease Progression Modelling Most When Data Is Scarce

    Sep 11, 2026Ifeoma Veronica Nwabufo, Julius Gervelmeyer, Sarah Müller +1Self-Supervised Pre-TrainingLongitudinal Medical Image Analysis

    Hertie Institute for AI in Brain Health, Faculty of Medicine, University of Tübingen, Germany · Tübingen AI Center, University of Tübingen, Germany

  5. Contrastive Representation Learning of Longitudinal Disease Trajectories on Temporal Graphs

    Jul 28, 2026Bastian PfeiferTemporal GNNsDisease Progression Modeling

    Institute for Medical Informatics, Statistics and Documentation · Medical University Graz · Graz, Austria

  6. Progression as Latent Drift: Generative Forecasting of Slow-Evolving Pathologies

    Jul 9, 2026Yuxiang Feng, Juncheng Wang, Chao Xu +7Finite Scalar QuantizationLatent Dynamics Modeling

    Zhejiang University, Hangzhou, China · IROOTECH TECHNOLOGY, China · The Hong Kong Polytechnic University, Hong Kong, China +1

  7. Physics-Grounded Disentangled Flow Modeling for Brain Disease Progression Trajectory

    Jun 26, 2026Jun Wang, Peirong LiuFlow MatchingLongitudinal Medical Image Analysis

    Department of Electrical and Computer Engineering, Data Science and AI Institute, Johns Hopkins University

  8. Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning

    Jun 23, 2026Arya Hariharan, Shreyank N Gowda, Anala M RClinical Outcome PredictionAlzheimer's Disease Classification

    Department of Computer Science and Engineering, R.V. College of Engineering, Bengaluru, Karnataka, India · School of Computer Science, University of Nottingham, Nottingham, United Kingdom

  9. SMART: A Flexible, Interpretable, and Scalable Spatio-temporal Brain Atlas from High-Resolution Imaging Data

    Jun 17, 2026John Kalkhof, Boris Gutman, Emile d'Angremont +2Disease Progression ModelingLongitudinal Medical Image Analysis

    IIT · Inria Center at University Côte d’Azur Sophia Antipolis, France · Illinois Institute of Technology Chicago, IL, USA +4

  10. A Quantitative Analysis of Multimodal Biomarkers in Alzheimer's Disease

    Jun 16, 2026Antonio Scardace, Daniele RavìAlzheimer's DiseaseDisease Progression Modeling

    Department of Mathematics and Computer Science University of Catania Catania, Italy · Department MIFT University of Messina Messina, Italy

  11. Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policies

    Jun 15, 2026Ke Liu, Mengxuan Li, Yanyi Bao +4World Model LearningClinical Decision Support

    College of Computer Science, Zhejiang University, Hangzhou, China. · School of Medicine, Zhejiang University, China. · Department of Biomedical Informatics, Harvard University, USA.

  12. Learning Directional Semantic Transitions for Longitudinal Chest X-ray Analysis

    Jun 14, 2026Zhangfeng Hu, Zefan Yang, Ge Wang +4Radiology VLMsDisease Progression Modeling

    Rensselaer Polytechnic Institute, Troy, NY, USA · Stanford University, Stanford, CA, USA · Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

  13. Bayesian Networks with Latent Time Embedding for Stage-Aware Causal Modeling of Alzheimer's Disease Progression

    Jun 14, 2026Nguyen Linh Dan LeCausal Effect EstimationStructural Causal Models

    Department of Biomedical Engineering The University of Melbourne, Melbourne, Australia

  14. Bayesian meta-learning for modeling Alzheimer's disease progression

    Jun 1, 2026Clara Hoffmann, Nadja KleinAlzheimer's DiseaseMeta-Learning

    Scientific Computing Center, Karlsruhe Institute of Technology, Germany

  15. ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data

    May 21, 2026Jiangyuan Wang, Xuyong Chen, Junwei He +3Action-Conditioned World ModelsLatent Dynamics Modeling

    Beijing KidneyTec Medical Technology Co., Ltd., Beijing, China

  16. From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction

    May 16, 2026Pujun Feng, Xiaoyu Guo, Seyed Ehsan Saffari +10Individualized Treatment Effect EstimationOff-Policy Evaluation

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR 999078, China. · Medin.ai, Beijing 100871, China. · School of Software & Microelectronics, Peking University, Beijing 100871, China. +8

  17. DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System

    May 14, 2026Yunying Zhu, Andrew R Weckstein, Kueiyu Joshua Lin +1Clinical PredictionTime Series Transformers

    Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA · Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA · Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, MA, USA +2

  18. Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories

    May 4, 2026Ran Tong, Tong Wang, Lanruo Wang +1Residual LearningAlzheimer's Disease

    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080, United States · Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT, United States · Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX 75080, United States +1

  19. PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking

    Apr 30, 2026Qing Lyu, Jeremy Hudson, Mohammad Kawas +3Alzheimer's DiseaseSurvival Analysis

    Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510 USA · Department of Radiology Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27157 USA · Department of Applied Mathematics & Statistics and Department of Computer Science, Stony Brook University, Stony Brook, NY 11794 USA

  20. TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data

    Apr 25, 2026Hongtao Hao, Joseph L. AusterweilAlzheimer's DiseaseDisease Progression Modeling

    University of Wisconsin—Madison, USA · Chiba Institute of Technology, Japan & University of Wisconsin—Madison, USA

  21. Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction

    Apr 18, 2026Liyin Chen, Nazlee Zebardast, Mengyu Wang +2Medical ImagingImage-to-Image Translation

    Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA · Broad Institute of MIT and Harvard, Cambridge, MA, USA · Harvard Ophthalmology AI Lab, Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA +1

  22. DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning

    Mar 10, 2026Deyi Li, Zijun Yao, Qi Xu +4Disease Progression ModelingLongitudinal EHR Modeling

    University of Florida, Gainesville, Florida, USA · University of Kansas, Lawrence, Kansas, USA · MD Anderson Cancer Center, Houston, Texas, USA +1

  23. Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data

    Feb 25, 2026Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij +3Disease Progression ModelingAlzheimer's Disease Progression Prediction

    Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands · Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands · Hawkes Institute, Department of Computer Science, University College London, London, United Kingdom

  24. CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

    Dec 8, 2025Tianxingjian Ding, Yuanhao Zou, Chen Chen +2Disease Progression ModelingHealthcare

    Institute of Artificial Intelligence, University of Central Florida