{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T10:17:07Z","timestamp":1788949027865,"version":"build-2803163510"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:00:00Z","timestamp":1783036800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:00:00Z","timestamp":1783036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/100007185","name":"University of California, Los Angeles","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Hematol Oncol"],"DOI":"10.1186\/s13045-026-01823-5","type":"journal-article","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T13:26:06Z","timestamp":1783085166000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Emerging artificial intelligence advances in oncology: latest updates from the 2026 AACR annual meeting"],"prefix":"10.1186","volume":"19","author":[{"given":"Yan-Ruide","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengyao","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haochen","family":"Nan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,3]]},"reference":[{"key":"1823_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1158\/1538-7445.AM2026-1","volume":"86","author":"A Taylor","year":"2026","unstructured":"Taylor A, Andreoletti G, Allaway R, Banerjee J, Banks O, Bowen A, et al. Abstract 1: Synapse.org as a foundational platform supporting multicenter cancer data coordination, benchmarking, and broad community reuse. Cancer Res. 2026;86:1. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-1.","journal-title":"Cancer Res"},{"key":"1823_CR2","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1158\/1538-7445.AM2026-16","volume":"86","author":"H Liang","year":"2026","unstructured":"Liang H, Liu W. Abstract 16: DrBioRight: an AI research assistant for cancer data analysis. Cancer Res. 2026;86:16. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-16.","journal-title":"Cancer Res"},{"key":"1823_CR3","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1158\/1538-7445.AM2026-18","volume":"86","author":"MM Reich","year":"2026","unstructured":"Reich MM, Tabor T, Liefeld T, Castanza A, Wenzel AT, Mesirov JP. Abstract 18: GP CoPilot: An AI-enhanced agent for cancer research. Cancer Res. 2026;86:18. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-18.","journal-title":"Cancer Res"},{"key":"1823_CR4","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1158\/1538-7445.AM2026-27","volume":"86","author":"JE Arango Ossa","year":"2026","unstructured":"Arango Ossa JE, Domenico D, Steinberg AP, Havasov E, Gundem G, Liosis K, et al. Abstract 27: An MCP-enabled AI agent for automated multimodal genomics analysis in the Isabl Platform. Cancer Res. 2026;86:27. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-27.","journal-title":"Cancer Res"},{"key":"1823_CR5","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1158\/1538-7445.AM2026-26","volume":"86","author":"A Waqas","year":"2026","unstructured":"Waqas A, Tripathi AG, Bowles K, Miner B, Islam JY, Coghill AE, et al. Abstract 26: Multi-agent AI orchestration for temporal-aware extraction of social determinants of health from unstructured clinical records in cancer populations. Cancer Res. 2026;86:26. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-26.","journal-title":"Cancer Res"},{"key":"1823_CR6","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1158\/1538-7445.AM2026-30","volume":"86","author":"B Theodorou","year":"2026","unstructured":"Theodorou B, Schmitt T, Wang Z, Thati V, Watkins A, Banks K, et al. Abstract 30: Automated cohort extraction from real-world oncology data using adaptive LLM-based agentic systems for clinical trial feasibility and patient selection. Cancer Res. 2026;86:30. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-30.","journal-title":"Cancer Res"},{"key":"1823_CR7","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1158\/1538-7445.AM2026-20","volume":"86","author":"T Kang","year":"2026","unstructured":"Kang T, Dougherty E, Mishra S, Godart R, Saha A, Wills J, et al. Abstract 20: An agentic AI workflow for automated, high-fidelity curation of cancer diagnosis and staging from unstructured patient records. Cancer Res. 2026;86:20. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-20.","journal-title":"Cancer Res"},{"key":"1823_CR8","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1158\/1538-7445.AM2026-31","volume":"86","author":"S Orouji","year":"2026","unstructured":"Orouji S, Zhu Y, Maxwell D, Russell K, Al-Lazikani B. Abstract 31: Charles: A self-critical agentic AI drug discovery analyst for cancer. Cancer Res. 2026;86:31. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-31.","journal-title":"Cancer Res"},{"key":"1823_CR9","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1158\/1538-7445.AM2026-17","volume":"86","author":"Y Zhang","year":"2026","unstructured":"Zhang Y, Zhou T. Abstract 17: A multicenter, prospective validation of an AI-based software (PanClaudinAI) for predicting claudin 18.2 expression via contrast-enhanced CT in pancreatic cancer. Cancer Res. 2026;86:17. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-17.","journal-title":"Cancer Res"},{"key":"1823_CR10","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1158\/1538-7445.AM2026-29","volume":"86","author":"V Shetye","year":"2026","unstructured":"Shetye V, Krawczuk PN, Godart R, Saha A, Altay G, Osterman C, et al. Abstract 29: Reasoning-guided retrieval improves oncology trial eligibility matching from clinical notes. Cancer Res. 2026;86:29. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-29.","journal-title":"Cancer Res"},{"key":"1823_CR11","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1158\/1538-7445.AM2026-22","volume":"86","author":"Y Ni","year":"2026","unstructured":"Ni Y, Zhu L. Abstract 22: Multi-agent AI system for autonomous CAR-T development: Integrated target discovery, toxicity prediction, and rational molecular design for cancer immunotherapy. Cancer Res. 2026;86:22. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-22.","journal-title":"Cancer Res"},{"key":"1823_CR12","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1158\/1538-7445.AM2026-23","volume":"86","author":"A Sharma","year":"2026","unstructured":"Sharma A, Li G(F, Liu X, Yarmarkovich M. Abstract 23: ImmunoVerse-Chat: A conversational agentic-AI engine for next-generation immunotherapeutic target discovery. Cancer Res. 2026;86:23. https:\/\/doi.org\/10.1158\/1538-7445.AM2026-23.","journal-title":"Cancer Res"}],"container-title":["Journal of Hematology & Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13045-026-01823-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13045-026-01823-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13045-026-01823-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T13:26:07Z","timestamp":1783085167000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s13045-026-01823-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,3]]},"references-count":12,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["1823"],"URL":"https:\/\/doi.org\/10.1186\/s13045-026-01823-5","relation":{},"ISSN":["1756-8722"],"issn-type":[{"value":"1756-8722","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,3]]},"assertion":[{"value":"21 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"50"}}