1
CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging
AI预测癌症TNM分期，健康医疗大模型的精准应用新突破。
arXiv:2607.03466v1 Announce Type: cross Abstract: This study aims to predict Tumor, Node, and Metastasis (TNM) stage labels independently, with the Ca…
2
三星 1.1 亿美元投资 GRAIL，联手在亚洲推广癌症早筛产品
IT之家 6 月 29 日消息，三星已完成对医疗企业 GRAIL 1.1 亿美元（IT之家注：现汇率约合 7.48 亿元人民币）的投资。两家企业计划在多个亚洲市场推出癌症早期检测试剂，此举体现出这家韩国企业正持续加码预防诊断领域。 去年，三星宣布与 GRAIL 达成战略合作，共同推广旗下多癌早期检测…
3
The fittest founder in the room got cancer. Here’s how he used AI to fight back.
一位注重健康的创业者在确诊癌症后，利用AI辅助诊断、治疗和康复，最终战胜病魔的真实故事，展现AI在医疗领域的潜力。
When confronted with cancer, Connor Christou fed everything tied tied to his regime — blood results, scan data, wearable output, journal entries — int…
4
A prognostic human brain network for diffuse midline glioma
Nature研究揭示DMG肿瘤通过神经元-胶质瘤突触形成全脑整合网络，提出全新预后生物标志物，改写儿童脑癌治疗认知。
Nature, Published online: 10 June 2026; doi:10.1038/s41586-026-10631-3 Tumour network mapping of diffuse midline glioma (DMG) defines a conserved and …
5
Preventing cancer requires more than a list of carcinogens
快速直达Nature期刊的最新癌症预防研究，DOI一键打开，权威又高效。
Nature, Published online: 09 June 2026; doi:10.1038/d41586-026-01847-4 Preventing cancer requires more than a list of carcinogens
6
Modeling and Interpreting Teamwork Dynamics in Cancer Care Outcome Prediction
用AI建模医疗团队协作动态，揭示癌症护理结果预测的深层机制。
arXiv:2606.04499v1 Announce Type: cross Abstract: Cancer care requires a longitudinal approach in which treatments are planned and delivered over time…
7
PathWISE: Multi-Agent Cancer Pathway Triaging Ontology Learning from Clinical Flowcharts
用四个LLM智能体从临床流程图自动学习癌症路径分诊本体，突破非结构化视觉信息壁垒。
arXiv:2605.25970v1 Announce Type: new Abstract: Clinical pathways are disseminated as visual flowcharts where spatial topology, arrow direction, colou…