Cancer Drug Response Prediction

Latest papers

21 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

CoRe-WM: Conditioned Response-State World Modeling for Longitudinal Treatment-Response Prediction in Breast DCE-MRI
Oct 18, 2026Lin Zhao, Bowen Chen, Qiaohui Gao +4Cancer Drug Response Prediction Clinical Outcome Prediction
Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA. · College of Engineering, Northeastern University, Boston, MA 02115, USA. · Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA. +2
Causal multi-modal AI for personalized chemosensitivity prediction
Sep 11, 2026Dhruva Biswas, Jeroen Berrevoets, Alec McClean +31Cancer Drug Response Prediction Clinical 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
PerturbRx: Learning Treatment-Conditioned Latent Transitions for Patient Drug Response Prediction
Aug 21, 2026Yoshitaka Inoue, Minoh Jeong, Alfred Hero +2Cancer Drug Response Prediction Predictive Representation Learning
Department of Computer Science, University of Minnesota, Minneapolis, MN, USA · Computational Biology Branch, National Library of Medicine, Bethesda, MD, USA · Therapeutic Development Branch, National Library of Medicine, Bethesda, MD, USA +2
Neoadjuvant chemotherapy response prediction using pretreatment diffusion and contrast-enhanced magnetic resonance imaging with clinical variables
Aug 18, 2026Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo +6Cancer Drug Response Prediction Clinical Outcome Prediction
Computer Science Department, University of Oviedo, Asturias, Spain · Biomedical Engineering Center (BME), University of Oviedo, Asturias, Spain · Electrical Engineering Department, University of Oviedo, Asturias, Spain +7
Large-scale AI-Ready Data for Anti-Cancer Drug Response Modeling
Aug 11, 2026Vincent Lavelle, Yitan Zhu, Kaitlyn Marlor +2Benchmark Design OOD Generalization
Division of Data Science and Learning, Argonne National Laboratory · Computing, Environment, and Life Sciences, Argonne National Laboratory · Department of Computer Science, University of Chicago
Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI
Aug 7, 2026Fidel Omar Tito Cruz, Neda Ghafouri, Zengyan Wang +3Breast Cancer Longitudinal Medical Image Analysis
University of Central Florida, Orlando, FL, USA
Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
Jul 6, 2026Johannes Kiechle, Richard Osuala, Daniel M. Lang +5Graph Representation Learning 3D Medical Imaging
Technical University of Munich · TUM University Hospital Rechts der Isar · Helmholtz Munich +4
Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations
Jul 6, 2026Dongmin Bang, Sugyun An, Inyoung Sung +3Cancer Genomics Healthcare
Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea · AIGENDRUG Co., Ltd., Seoul, Republic of Korea · BK21 FOUR Intelligence Computing, Seoul National University, Seoul, Republic of Korea +2
Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions
Jul 1, 2026Martino Ciaperoni, Margherita Lalli, Simone Piaggesi +6Cancer Genomics Feature Attribution
KDD Lab, Scuola Normale Superiore Pisa, Italy · KDD Lab, University of Pisa Pisa, Italy · EMBL-EBI Hinxton, United Kingdom +1
ClinRAG-GRAPH: Clinical-prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction
Jul 1, 2026Yaofei Duan, Yuhao Huang, Tianyu Zhang +12Domain-Adversarial Learning Retrieval-Augmented Generation
Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands · The Netherlands Cancer Institute, Amsterdam, The Netherlands · Faculty of Applied Sciences, Macao Polytechnic University, Macau, China +5
OncoTraj: a public benchmark for longitudinal resistance prediction in EGFR-mutant non-small-cell lung cancer on osimertinib
Jun 9, 2026Abhijoy Sarkar, Aarchi Singh ThakurCancer Genomics Clinical Outcome Prediction
Span AI
Training distribution determines the ceiling of drug-blind cancer sensitivity prediction
May 20, 2026Taekyung HeoTraining Data Selection Clinical Prediction
Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability
Apr 7, 2026Yuheng Liang, Lucy Chhuo, Ahmadreza Argha +8Clinical Outcome Prediction Oncology
UNSW BioMedical Machine Learning Lab (BML), School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia · Garvan Institute of Meidical Research, Sydney, NSW, 2000, Australia · School of Biomedical Engineering, UNSW, Sydney, NSW, 2052, Australia +7
BioCOMPASS: Integrating Biomarkers into Transformer-Based Immunotherapy Response Prediction
Apr 1, 2026Sayed Hashim, Frank Soboczenski, Paul CairnsCancer Drug Response Prediction Clinical Outcome Prediction
University of York, UK
ChemCLIP: Bridging Organic and Inorganic Anticancer Compounds Through Contrastive Learning
Mar 30, 2026Mohamad Koohi-Moghadam, Hongzhe Sun, Hongyan Li +1Cancer Drug Response Prediction Molecular Representation Learning
Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, PR China · Department of Chemistry, The University of Hong Kong, Pok Fu Lam Road, Hong Kong S.A.R., PRC
DPD-Cancer: Explainable Graph-Based Deep Learning for Small Molecule Anti-Cancer Activity Prediction
Mar 27, 2026Magnus H. Strømme, Alex G. C. de Sá, David B. AscherCancer Drug Response Prediction Molecular Property Prediction
The Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, 4072, Australia · Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, 3004, Australia
DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
Mar 25, 2026Yuhan Zhao, Jacob Tennant, James Yang +3Multi-Omics Data Integration Cancer Drug Response Prediction
Department of Computer Science, North Carolina State University, Raleigh, NC, USA · UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA · Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, USA
An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis
Mar 17, 2026Ann Rachel, Pranav M Pawar, Mithun Mukharjee +2Cancer Drug Response Prediction Clinical Prediction
Department of Computer Science, Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai, UAE
Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
Mar 17, 2026Camille Jimenez Cortes, Philippe Lalanda, German VegaCancer Drug Response Prediction Cross-Domain Transfer Learning
Université Grenoble Alpes (UGA), France
Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
Mar 1, 2026Christopher Baker, Tianyu Ren, Karen Rafferty +1Cancer Drug Response Prediction World Models
School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, United Kingdom
Identifying and Characterising Response in Clinical Trials: Development and Validation of a Machine Learning Approach in Colorectal Cancer
Feb 28, 2026Adam Marcus, Paul AgapowCancer Drug Response Prediction Individualized Treatment Effect Estimation
Department of Computing Imperial College London London, SW7 2AZ, UK · Oncology R&D ML&AI AstraZeneca Cambridge, CB2 1PQ, UK

Oct 18, 2026J/K move · Enter open · S save

CoRe-WM: Conditioned Response-State World Modeling for Longitudinal Treatment-Response Prediction in Breast DCE-MRI

Lin Zhao, Bowen Chen, Qiaohui Gao, Shaowen Wan+3

Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA. · College of Engineering, Northeastern University, Boston, MA 02115, USA. · Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.+2

Cancer Drug Response Prediction Clinical Outcome Prediction World Model Learning State Representation Learning Magnetic Resonance Imaging

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Pathologic complete response (pCR) after neoadjuvant chemotherapy is a key prognostic indicator in aggressive breast cancer, yet existing prediction approaches either rely on pretreatment imaging alone, missing the patient's evolving response, or optimize multi-visit classifiers under direct outcome supervision, coupling representation learning with the clinical endpoint. We formulate longitudinal pCR prediction as a world-modeling problem and propose Conditioned Response-state World Modeling (CoRe-WM), which learns a latent state-transition model that predicts the next imaging state from the observed sequence. The transition function is conditioned on patient clinical profile and assigned therapy through additive shift and feature-wise modulation, enabling patient- and treatment-specific dynamics. A Factorized Response State pathway further decouples treatment-response dynamics from imaging appearance by encoding the structural prior that response manifests primarily in lesion morphology. After pretraining, all parameters are frozen and a linear readout predicts pCR at each clinical decision point. We evaluate CoRe-WM on I-SPY2 under five-fold cross-validation and assess cross-cohort transfer on I-SPY1. CoRe-WM achieves the highest discrimination among all evaluated methods at every prospective decision point, and demonstrates robust cross-cohort transfer. Ablation studies identify patient-profile conditioning and the factorized response pathway as the principal contributors. These results establish world-model-based representation learning as a promising framework for outcome prediction in oncology and beyond.