{"slug": "token-level-cross-modal-transformer-with-contrastive-multi-task-learning-for-and", "title": "Token-Level Cross-Modal Transformer with Contrastive Multi-Task Learning for Breast Cancer Subtype Classification and Survival Prediction", "summary": "Researchers have developed a token-level cross-modal transformer with contrastive multi-task learning that jointly performs breast cancer subtype classification and survival prediction by enabling fine-grained interactions between genomic and clinical data, addressing limitations of existing monolithic feature fusion and independent optimization approaches.", "body_md": "# Computer Science > Machine Learning\n\n[Submitted on 25 Jun 2026]\n\n# Title:Token-Level Cross-Modal Transformer with Contrastive Multi-Task Learning for Breast Cancer Subtype Classification and Survival Prediction\n\n[View PDF](/pdf/2607.16233)\n\n[HTML (experimental)](https://arxiv.org/html/2607.16233v1)\n\nAbstract:Integrating heterogeneous genomic and clinical modalities for joint cancer subtype classification and survival prediction remains a key challenge in precision oncology. Existing approaches suffer from three limitations: (1) they treat each modality as a monolithic feature vector, precluding fine-grained token-level interactions across modalities; (2) cross-modal fusion is typically performed through linear weighting or late averaging rather than structured token exchange; and (3) survival and classification objectives are optimized independently, missing a joint regularization signal.\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\nIArxiv Recommender\n\n*(*[What is IArxiv?](https://iarxiv.org/about))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/token-level-cross-modal-transformer-with-contrastive-multi-task-learning-for-and", "canonical_source": "https://arxiv.org/abs/2607.16233", "published_at": "2026-07-21 04:00:00+00:00", "updated_at": "2026-07-21 04:12:19.398977+00:00", "lang": "en", "topics": ["machine-learning", "artificial-intelligence"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/token-level-cross-modal-transformer-with-contrastive-multi-task-learning-for-and", "markdown": "https://wpnews.pro/news/token-level-cross-modal-transformer-with-contrastive-multi-task-learning-for-and.md", "text": "https://wpnews.pro/news/token-level-cross-modal-transformer-with-contrastive-multi-task-learning-for-and.txt", "jsonld": "https://wpnews.pro/news/token-level-cross-modal-transformer-with-contrastive-multi-task-learning-for-and.jsonld"}}